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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 computationFri, 13 Mar 2009 04:51:46 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/13/t1236941565a5hff9u4p3azz6b.htm/, Retrieved Fri, 09 May 2025 04:53:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39048, Retrieved Fri, 09 May 2025 04:53:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact244

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Brutoschuld van d...] [2009-03-13 09:53:03] [ef653b42671acc8de32235b938c43afe]
- RMP   [Histogram] [Brutoschuld van d...] [2009-03-13 10:13:11] [ef653b42671acc8de32235b938c43afe]
- RMPD      [Harrell-Davis Quantiles] [inschrijving nieu...] [2009-03-13 10:51:46] [2eea656d1ea82c4ced0e8e79cdac0617] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41086
39690
43129
37863
35953
29133
24693
22205
21725
27192
21790
13253
37702
30364
32609
30212
29965
28352
25814
22414
20506
28806
22228
13971
36845
35338
35022
34777
26887
23970
22780
17351
21382
24561
17409
11514
31514
27071
29462
26105
22397
23843
21705
18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698

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=39048&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=39048&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39048&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
0.0111059.3484065897991.350605640521
0.0211674.78225892661230.37935213976
0.0312390.69571172121353.82824830105
0.0413104.50209886281402.15421663614
0.0513780.45373203301467.61736618736
0.0614418.05536661171552.58207510521
0.0715021.65227622211598.94164518580
0.0815586.77485814061562.65178352080
0.0916101.31472862811440.58682460262
0.116553.14030344201261.71904227439
0.1116936.68664920081067.56369847615
0.1217255.2495304785895.55882543022
0.1317519.4043359949770.319231899822
0.1417743.5729286899701.121997123637
0.1517942.6188408457683.748556778319
0.1618129.4759351281705.821645094099
0.1718313.9938103834753.0540340243
0.1818502.7282459787813.13380860703
0.1918699.2897031691876.567489014757
0.218904.9333628657936.419353564739
0.2119119.1932937618988.01438681905
0.2219340.46000671541028.46162648322
0.2319566.45905204291056.32875279131
0.2419794.61893472891071.36886882921
0.2520022.33353148211073.95955517490
0.2620247.13535117611064.86200898146
0.2720466.80307651271045.14496745306
0.2820679.42886423751016.06865596881
0.2920883.4673808364979.138464638474
0.321077.7807959141936.211321502927
0.3121261.6845597114889.519434469783
0.3221434.9905166419841.72501271247
0.3321598.0386363085795.735027591683
0.3421751.7069651112754.724283749435
0.3521897.3908142462721.703428349759
0.3622036.9456629775699.57734886182
0.3722172.5927317214690.527435790768
0.3822306.7909256652695.906841231938
0.3922442.0834102571715.975761025028
0.422580.9310873708749.572903183123
0.4122725.5482208239794.55463519756
0.4222877.7567918475847.905425269504
0.4323038.8752445207906.103323075585
0.4423209.6538050712965.61089134156
0.4523390.26278540351023.05992141788
0.4623580.33311724901075.64199829487
0.4723779.04120849471121.23745974102
0.4823985.22459298261158.51129983413
0.4924197.51195806911186.91729883597
0.524414.4514770231206.61986807374
0.5124634.62457925461218.21972712550
0.5224856.73724402061222.78627422587
0.5325079.68608850291221.56947534336
0.5425302.60050221241215.87713300222
0.5525524.86394324181207.10595269668
0.5625746.11714659601196.66028337275
0.5725966.24411694181185.78598161617
0.5826185.33969405361175.78330699272
0.5926403.65664876681167.41156871284
0.626621.53178853821161.24460010690
0.6126839.29471955351157.09053311131
0.6227057.16899496571154.20221910818
0.6327275.18171221381151.07480955972
0.6427493.10203557221145.95376453736
0.6527710.42959717081136.8038163361
0.6627926.44911249321122.17545955824
0.6728140.3580329991101.38109225907
0.6828351.46128795271075.02400326327
0.6928559.41380743411045.15249078615
0.728764.48045991421015.35169792374
0.7128967.7764739702990.534225522678
0.7229171.4501631480976.663092240636
0.7329378.7731490473979.822473221855
0.7429594.10961495251005.67558974559
0.7529822.74380666881058.25221326884
0.7630070.55360735861139.05475072899
0.7730343.52904281911246.58625693503
0.7830647.15121286571375.99438495967
0.7930985.67278256651519.1736162208
0.831361.37668237891665.03966210523
0.8131773.93023653431800.30311075661
0.8232219.98495141081910.64956295551
0.8332693.1784573911982.86456507682
0.8433184.65519651492007.03973757493
0.8533684.12806813841979.13040201783
0.8634181.36959759171902.34340298084
0.8734667.89293181561787.39180081037
0.8835138.5244761261650.97845829136
0.8935592.63410728721512.74945790330
0.936034.96789361461391.99079053831
0.9136476.21051192591305.32036115541
0.9236933.392392811266.71863519572
0.9337429.92230948381287.88365447509
0.9437994.59194846371373.18113188833
0.9538658.92937254441506.46503580400
0.9639452.37727955181643.64889531013
0.9740391.01082922141735.5136063207
0.9841443.63859905881787.20286814423
0.9942459.70690806461881.07324733223

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 11059.3484065897 & 991.350605640521 \tabularnewline
0.02 & 11674.7822589266 & 1230.37935213976 \tabularnewline
0.03 & 12390.6957117212 & 1353.82824830105 \tabularnewline
0.04 & 13104.5020988628 & 1402.15421663614 \tabularnewline
0.05 & 13780.4537320330 & 1467.61736618736 \tabularnewline
0.06 & 14418.0553666117 & 1552.58207510521 \tabularnewline
0.07 & 15021.6522762221 & 1598.94164518580 \tabularnewline
0.08 & 15586.7748581406 & 1562.65178352080 \tabularnewline
0.09 & 16101.3147286281 & 1440.58682460262 \tabularnewline
0.1 & 16553.1403034420 & 1261.71904227439 \tabularnewline
0.11 & 16936.6866492008 & 1067.56369847615 \tabularnewline
0.12 & 17255.2495304785 & 895.55882543022 \tabularnewline
0.13 & 17519.4043359949 & 770.319231899822 \tabularnewline
0.14 & 17743.5729286899 & 701.121997123637 \tabularnewline
0.15 & 17942.6188408457 & 683.748556778319 \tabularnewline
0.16 & 18129.4759351281 & 705.821645094099 \tabularnewline
0.17 & 18313.9938103834 & 753.0540340243 \tabularnewline
0.18 & 18502.7282459787 & 813.13380860703 \tabularnewline
0.19 & 18699.2897031691 & 876.567489014757 \tabularnewline
0.2 & 18904.9333628657 & 936.419353564739 \tabularnewline
0.21 & 19119.1932937618 & 988.01438681905 \tabularnewline
0.22 & 19340.4600067154 & 1028.46162648322 \tabularnewline
0.23 & 19566.4590520429 & 1056.32875279131 \tabularnewline
0.24 & 19794.6189347289 & 1071.36886882921 \tabularnewline
0.25 & 20022.3335314821 & 1073.95955517490 \tabularnewline
0.26 & 20247.1353511761 & 1064.86200898146 \tabularnewline
0.27 & 20466.8030765127 & 1045.14496745306 \tabularnewline
0.28 & 20679.4288642375 & 1016.06865596881 \tabularnewline
0.29 & 20883.4673808364 & 979.138464638474 \tabularnewline
0.3 & 21077.7807959141 & 936.211321502927 \tabularnewline
0.31 & 21261.6845597114 & 889.519434469783 \tabularnewline
0.32 & 21434.9905166419 & 841.72501271247 \tabularnewline
0.33 & 21598.0386363085 & 795.735027591683 \tabularnewline
0.34 & 21751.7069651112 & 754.724283749435 \tabularnewline
0.35 & 21897.3908142462 & 721.703428349759 \tabularnewline
0.36 & 22036.9456629775 & 699.57734886182 \tabularnewline
0.37 & 22172.5927317214 & 690.527435790768 \tabularnewline
0.38 & 22306.7909256652 & 695.906841231938 \tabularnewline
0.39 & 22442.0834102571 & 715.975761025028 \tabularnewline
0.4 & 22580.9310873708 & 749.572903183123 \tabularnewline
0.41 & 22725.5482208239 & 794.55463519756 \tabularnewline
0.42 & 22877.7567918475 & 847.905425269504 \tabularnewline
0.43 & 23038.8752445207 & 906.103323075585 \tabularnewline
0.44 & 23209.6538050712 & 965.61089134156 \tabularnewline
0.45 & 23390.2627854035 & 1023.05992141788 \tabularnewline
0.46 & 23580.3331172490 & 1075.64199829487 \tabularnewline
0.47 & 23779.0412084947 & 1121.23745974102 \tabularnewline
0.48 & 23985.2245929826 & 1158.51129983413 \tabularnewline
0.49 & 24197.5119580691 & 1186.91729883597 \tabularnewline
0.5 & 24414.451477023 & 1206.61986807374 \tabularnewline
0.51 & 24634.6245792546 & 1218.21972712550 \tabularnewline
0.52 & 24856.7372440206 & 1222.78627422587 \tabularnewline
0.53 & 25079.6860885029 & 1221.56947534336 \tabularnewline
0.54 & 25302.6005022124 & 1215.87713300222 \tabularnewline
0.55 & 25524.8639432418 & 1207.10595269668 \tabularnewline
0.56 & 25746.1171465960 & 1196.66028337275 \tabularnewline
0.57 & 25966.2441169418 & 1185.78598161617 \tabularnewline
0.58 & 26185.3396940536 & 1175.78330699272 \tabularnewline
0.59 & 26403.6566487668 & 1167.41156871284 \tabularnewline
0.6 & 26621.5317885382 & 1161.24460010690 \tabularnewline
0.61 & 26839.2947195535 & 1157.09053311131 \tabularnewline
0.62 & 27057.1689949657 & 1154.20221910818 \tabularnewline
0.63 & 27275.1817122138 & 1151.07480955972 \tabularnewline
0.64 & 27493.1020355722 & 1145.95376453736 \tabularnewline
0.65 & 27710.4295971708 & 1136.8038163361 \tabularnewline
0.66 & 27926.4491124932 & 1122.17545955824 \tabularnewline
0.67 & 28140.358032999 & 1101.38109225907 \tabularnewline
0.68 & 28351.4612879527 & 1075.02400326327 \tabularnewline
0.69 & 28559.4138074341 & 1045.15249078615 \tabularnewline
0.7 & 28764.4804599142 & 1015.35169792374 \tabularnewline
0.71 & 28967.7764739702 & 990.534225522678 \tabularnewline
0.72 & 29171.4501631480 & 976.663092240636 \tabularnewline
0.73 & 29378.7731490473 & 979.822473221855 \tabularnewline
0.74 & 29594.1096149525 & 1005.67558974559 \tabularnewline
0.75 & 29822.7438066688 & 1058.25221326884 \tabularnewline
0.76 & 30070.5536073586 & 1139.05475072899 \tabularnewline
0.77 & 30343.5290428191 & 1246.58625693503 \tabularnewline
0.78 & 30647.1512128657 & 1375.99438495967 \tabularnewline
0.79 & 30985.6727825665 & 1519.1736162208 \tabularnewline
0.8 & 31361.3766823789 & 1665.03966210523 \tabularnewline
0.81 & 31773.9302365343 & 1800.30311075661 \tabularnewline
0.82 & 32219.9849514108 & 1910.64956295551 \tabularnewline
0.83 & 32693.178457391 & 1982.86456507682 \tabularnewline
0.84 & 33184.6551965149 & 2007.03973757493 \tabularnewline
0.85 & 33684.1280681384 & 1979.13040201783 \tabularnewline
0.86 & 34181.3695975917 & 1902.34340298084 \tabularnewline
0.87 & 34667.8929318156 & 1787.39180081037 \tabularnewline
0.88 & 35138.524476126 & 1650.97845829136 \tabularnewline
0.89 & 35592.6341072872 & 1512.74945790330 \tabularnewline
0.9 & 36034.9678936146 & 1391.99079053831 \tabularnewline
0.91 & 36476.2105119259 & 1305.32036115541 \tabularnewline
0.92 & 36933.39239281 & 1266.71863519572 \tabularnewline
0.93 & 37429.9223094838 & 1287.88365447509 \tabularnewline
0.94 & 37994.5919484637 & 1373.18113188833 \tabularnewline
0.95 & 38658.9293725444 & 1506.46503580400 \tabularnewline
0.96 & 39452.3772795518 & 1643.64889531013 \tabularnewline
0.97 & 40391.0108292214 & 1735.5136063207 \tabularnewline
0.98 & 41443.6385990588 & 1787.20286814423 \tabularnewline
0.99 & 42459.7069080646 & 1881.07324733223 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39048&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]11059.3484065897[/C][C]991.350605640521[/C][/ROW]
[ROW][C]0.02[/C][C]11674.7822589266[/C][C]1230.37935213976[/C][/ROW]
[ROW][C]0.03[/C][C]12390.6957117212[/C][C]1353.82824830105[/C][/ROW]
[ROW][C]0.04[/C][C]13104.5020988628[/C][C]1402.15421663614[/C][/ROW]
[ROW][C]0.05[/C][C]13780.4537320330[/C][C]1467.61736618736[/C][/ROW]
[ROW][C]0.06[/C][C]14418.0553666117[/C][C]1552.58207510521[/C][/ROW]
[ROW][C]0.07[/C][C]15021.6522762221[/C][C]1598.94164518580[/C][/ROW]
[ROW][C]0.08[/C][C]15586.7748581406[/C][C]1562.65178352080[/C][/ROW]
[ROW][C]0.09[/C][C]16101.3147286281[/C][C]1440.58682460262[/C][/ROW]
[ROW][C]0.1[/C][C]16553.1403034420[/C][C]1261.71904227439[/C][/ROW]
[ROW][C]0.11[/C][C]16936.6866492008[/C][C]1067.56369847615[/C][/ROW]
[ROW][C]0.12[/C][C]17255.2495304785[/C][C]895.55882543022[/C][/ROW]
[ROW][C]0.13[/C][C]17519.4043359949[/C][C]770.319231899822[/C][/ROW]
[ROW][C]0.14[/C][C]17743.5729286899[/C][C]701.121997123637[/C][/ROW]
[ROW][C]0.15[/C][C]17942.6188408457[/C][C]683.748556778319[/C][/ROW]
[ROW][C]0.16[/C][C]18129.4759351281[/C][C]705.821645094099[/C][/ROW]
[ROW][C]0.17[/C][C]18313.9938103834[/C][C]753.0540340243[/C][/ROW]
[ROW][C]0.18[/C][C]18502.7282459787[/C][C]813.13380860703[/C][/ROW]
[ROW][C]0.19[/C][C]18699.2897031691[/C][C]876.567489014757[/C][/ROW]
[ROW][C]0.2[/C][C]18904.9333628657[/C][C]936.419353564739[/C][/ROW]
[ROW][C]0.21[/C][C]19119.1932937618[/C][C]988.01438681905[/C][/ROW]
[ROW][C]0.22[/C][C]19340.4600067154[/C][C]1028.46162648322[/C][/ROW]
[ROW][C]0.23[/C][C]19566.4590520429[/C][C]1056.32875279131[/C][/ROW]
[ROW][C]0.24[/C][C]19794.6189347289[/C][C]1071.36886882921[/C][/ROW]
[ROW][C]0.25[/C][C]20022.3335314821[/C][C]1073.95955517490[/C][/ROW]
[ROW][C]0.26[/C][C]20247.1353511761[/C][C]1064.86200898146[/C][/ROW]
[ROW][C]0.27[/C][C]20466.8030765127[/C][C]1045.14496745306[/C][/ROW]
[ROW][C]0.28[/C][C]20679.4288642375[/C][C]1016.06865596881[/C][/ROW]
[ROW][C]0.29[/C][C]20883.4673808364[/C][C]979.138464638474[/C][/ROW]
[ROW][C]0.3[/C][C]21077.7807959141[/C][C]936.211321502927[/C][/ROW]
[ROW][C]0.31[/C][C]21261.6845597114[/C][C]889.519434469783[/C][/ROW]
[ROW][C]0.32[/C][C]21434.9905166419[/C][C]841.72501271247[/C][/ROW]
[ROW][C]0.33[/C][C]21598.0386363085[/C][C]795.735027591683[/C][/ROW]
[ROW][C]0.34[/C][C]21751.7069651112[/C][C]754.724283749435[/C][/ROW]
[ROW][C]0.35[/C][C]21897.3908142462[/C][C]721.703428349759[/C][/ROW]
[ROW][C]0.36[/C][C]22036.9456629775[/C][C]699.57734886182[/C][/ROW]
[ROW][C]0.37[/C][C]22172.5927317214[/C][C]690.527435790768[/C][/ROW]
[ROW][C]0.38[/C][C]22306.7909256652[/C][C]695.906841231938[/C][/ROW]
[ROW][C]0.39[/C][C]22442.0834102571[/C][C]715.975761025028[/C][/ROW]
[ROW][C]0.4[/C][C]22580.9310873708[/C][C]749.572903183123[/C][/ROW]
[ROW][C]0.41[/C][C]22725.5482208239[/C][C]794.55463519756[/C][/ROW]
[ROW][C]0.42[/C][C]22877.7567918475[/C][C]847.905425269504[/C][/ROW]
[ROW][C]0.43[/C][C]23038.8752445207[/C][C]906.103323075585[/C][/ROW]
[ROW][C]0.44[/C][C]23209.6538050712[/C][C]965.61089134156[/C][/ROW]
[ROW][C]0.45[/C][C]23390.2627854035[/C][C]1023.05992141788[/C][/ROW]
[ROW][C]0.46[/C][C]23580.3331172490[/C][C]1075.64199829487[/C][/ROW]
[ROW][C]0.47[/C][C]23779.0412084947[/C][C]1121.23745974102[/C][/ROW]
[ROW][C]0.48[/C][C]23985.2245929826[/C][C]1158.51129983413[/C][/ROW]
[ROW][C]0.49[/C][C]24197.5119580691[/C][C]1186.91729883597[/C][/ROW]
[ROW][C]0.5[/C][C]24414.451477023[/C][C]1206.61986807374[/C][/ROW]
[ROW][C]0.51[/C][C]24634.6245792546[/C][C]1218.21972712550[/C][/ROW]
[ROW][C]0.52[/C][C]24856.7372440206[/C][C]1222.78627422587[/C][/ROW]
[ROW][C]0.53[/C][C]25079.6860885029[/C][C]1221.56947534336[/C][/ROW]
[ROW][C]0.54[/C][C]25302.6005022124[/C][C]1215.87713300222[/C][/ROW]
[ROW][C]0.55[/C][C]25524.8639432418[/C][C]1207.10595269668[/C][/ROW]
[ROW][C]0.56[/C][C]25746.1171465960[/C][C]1196.66028337275[/C][/ROW]
[ROW][C]0.57[/C][C]25966.2441169418[/C][C]1185.78598161617[/C][/ROW]
[ROW][C]0.58[/C][C]26185.3396940536[/C][C]1175.78330699272[/C][/ROW]
[ROW][C]0.59[/C][C]26403.6566487668[/C][C]1167.41156871284[/C][/ROW]
[ROW][C]0.6[/C][C]26621.5317885382[/C][C]1161.24460010690[/C][/ROW]
[ROW][C]0.61[/C][C]26839.2947195535[/C][C]1157.09053311131[/C][/ROW]
[ROW][C]0.62[/C][C]27057.1689949657[/C][C]1154.20221910818[/C][/ROW]
[ROW][C]0.63[/C][C]27275.1817122138[/C][C]1151.07480955972[/C][/ROW]
[ROW][C]0.64[/C][C]27493.1020355722[/C][C]1145.95376453736[/C][/ROW]
[ROW][C]0.65[/C][C]27710.4295971708[/C][C]1136.8038163361[/C][/ROW]
[ROW][C]0.66[/C][C]27926.4491124932[/C][C]1122.17545955824[/C][/ROW]
[ROW][C]0.67[/C][C]28140.358032999[/C][C]1101.38109225907[/C][/ROW]
[ROW][C]0.68[/C][C]28351.4612879527[/C][C]1075.02400326327[/C][/ROW]
[ROW][C]0.69[/C][C]28559.4138074341[/C][C]1045.15249078615[/C][/ROW]
[ROW][C]0.7[/C][C]28764.4804599142[/C][C]1015.35169792374[/C][/ROW]
[ROW][C]0.71[/C][C]28967.7764739702[/C][C]990.534225522678[/C][/ROW]
[ROW][C]0.72[/C][C]29171.4501631480[/C][C]976.663092240636[/C][/ROW]
[ROW][C]0.73[/C][C]29378.7731490473[/C][C]979.822473221855[/C][/ROW]
[ROW][C]0.74[/C][C]29594.1096149525[/C][C]1005.67558974559[/C][/ROW]
[ROW][C]0.75[/C][C]29822.7438066688[/C][C]1058.25221326884[/C][/ROW]
[ROW][C]0.76[/C][C]30070.5536073586[/C][C]1139.05475072899[/C][/ROW]
[ROW][C]0.77[/C][C]30343.5290428191[/C][C]1246.58625693503[/C][/ROW]
[ROW][C]0.78[/C][C]30647.1512128657[/C][C]1375.99438495967[/C][/ROW]
[ROW][C]0.79[/C][C]30985.6727825665[/C][C]1519.1736162208[/C][/ROW]
[ROW][C]0.8[/C][C]31361.3766823789[/C][C]1665.03966210523[/C][/ROW]
[ROW][C]0.81[/C][C]31773.9302365343[/C][C]1800.30311075661[/C][/ROW]
[ROW][C]0.82[/C][C]32219.9849514108[/C][C]1910.64956295551[/C][/ROW]
[ROW][C]0.83[/C][C]32693.178457391[/C][C]1982.86456507682[/C][/ROW]
[ROW][C]0.84[/C][C]33184.6551965149[/C][C]2007.03973757493[/C][/ROW]
[ROW][C]0.85[/C][C]33684.1280681384[/C][C]1979.13040201783[/C][/ROW]
[ROW][C]0.86[/C][C]34181.3695975917[/C][C]1902.34340298084[/C][/ROW]
[ROW][C]0.87[/C][C]34667.8929318156[/C][C]1787.39180081037[/C][/ROW]
[ROW][C]0.88[/C][C]35138.524476126[/C][C]1650.97845829136[/C][/ROW]
[ROW][C]0.89[/C][C]35592.6341072872[/C][C]1512.74945790330[/C][/ROW]
[ROW][C]0.9[/C][C]36034.9678936146[/C][C]1391.99079053831[/C][/ROW]
[ROW][C]0.91[/C][C]36476.2105119259[/C][C]1305.32036115541[/C][/ROW]
[ROW][C]0.92[/C][C]36933.39239281[/C][C]1266.71863519572[/C][/ROW]
[ROW][C]0.93[/C][C]37429.9223094838[/C][C]1287.88365447509[/C][/ROW]
[ROW][C]0.94[/C][C]37994.5919484637[/C][C]1373.18113188833[/C][/ROW]
[ROW][C]0.95[/C][C]38658.9293725444[/C][C]1506.46503580400[/C][/ROW]
[ROW][C]0.96[/C][C]39452.3772795518[/C][C]1643.64889531013[/C][/ROW]
[ROW][C]0.97[/C][C]40391.0108292214[/C][C]1735.5136063207[/C][/ROW]
[ROW][C]0.98[/C][C]41443.6385990588[/C][C]1787.20286814423[/C][/ROW]
[ROW][C]0.99[/C][C]42459.7069080646[/C][C]1881.07324733223[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39048&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39048&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
0.0111059.3484065897991.350605640521
0.0211674.78225892661230.37935213976
0.0312390.69571172121353.82824830105
0.0413104.50209886281402.15421663614
0.0513780.45373203301467.61736618736
0.0614418.05536661171552.58207510521
0.0715021.65227622211598.94164518580
0.0815586.77485814061562.65178352080
0.0916101.31472862811440.58682460262
0.116553.14030344201261.71904227439
0.1116936.68664920081067.56369847615
0.1217255.2495304785895.55882543022
0.1317519.4043359949770.319231899822
0.1417743.5729286899701.121997123637
0.1517942.6188408457683.748556778319
0.1618129.4759351281705.821645094099
0.1718313.9938103834753.0540340243
0.1818502.7282459787813.13380860703
0.1918699.2897031691876.567489014757
0.218904.9333628657936.419353564739
0.2119119.1932937618988.01438681905
0.2219340.46000671541028.46162648322
0.2319566.45905204291056.32875279131
0.2419794.61893472891071.36886882921
0.2520022.33353148211073.95955517490
0.2620247.13535117611064.86200898146
0.2720466.80307651271045.14496745306
0.2820679.42886423751016.06865596881
0.2920883.4673808364979.138464638474
0.321077.7807959141936.211321502927
0.3121261.6845597114889.519434469783
0.3221434.9905166419841.72501271247
0.3321598.0386363085795.735027591683
0.3421751.7069651112754.724283749435
0.3521897.3908142462721.703428349759
0.3622036.9456629775699.57734886182
0.3722172.5927317214690.527435790768
0.3822306.7909256652695.906841231938
0.3922442.0834102571715.975761025028
0.422580.9310873708749.572903183123
0.4122725.5482208239794.55463519756
0.4222877.7567918475847.905425269504
0.4323038.8752445207906.103323075585
0.4423209.6538050712965.61089134156
0.4523390.26278540351023.05992141788
0.4623580.33311724901075.64199829487
0.4723779.04120849471121.23745974102
0.4823985.22459298261158.51129983413
0.4924197.51195806911186.91729883597
0.524414.4514770231206.61986807374
0.5124634.62457925461218.21972712550
0.5224856.73724402061222.78627422587
0.5325079.68608850291221.56947534336
0.5425302.60050221241215.87713300222
0.5525524.86394324181207.10595269668
0.5625746.11714659601196.66028337275
0.5725966.24411694181185.78598161617
0.5826185.33969405361175.78330699272
0.5926403.65664876681167.41156871284
0.626621.53178853821161.24460010690
0.6126839.29471955351157.09053311131
0.6227057.16899496571154.20221910818
0.6327275.18171221381151.07480955972
0.6427493.10203557221145.95376453736
0.6527710.42959717081136.8038163361
0.6627926.44911249321122.17545955824
0.6728140.3580329991101.38109225907
0.6828351.46128795271075.02400326327
0.6928559.41380743411045.15249078615
0.728764.48045991421015.35169792374
0.7128967.7764739702990.534225522678
0.7229171.4501631480976.663092240636
0.7329378.7731490473979.822473221855
0.7429594.10961495251005.67558974559
0.7529822.74380666881058.25221326884
0.7630070.55360735861139.05475072899
0.7730343.52904281911246.58625693503
0.7830647.15121286571375.99438495967
0.7930985.67278256651519.1736162208
0.831361.37668237891665.03966210523
0.8131773.93023653431800.30311075661
0.8232219.98495141081910.64956295551
0.8332693.1784573911982.86456507682
0.8433184.65519651492007.03973757493
0.8533684.12806813841979.13040201783
0.8634181.36959759171902.34340298084
0.8734667.89293181561787.39180081037
0.8835138.5244761261650.97845829136
0.8935592.63410728721512.74945790330
0.936034.96789361461391.99079053831
0.9136476.21051192591305.32036115541
0.9236933.392392811266.71863519572
0.9337429.92230948381287.88365447509
0.9437994.59194846371373.18113188833
0.9538658.92937254441506.46503580400
0.9639452.37727955181643.64889531013
0.9740391.01082922141735.5136063207
0.9841443.63859905881787.20286814423
0.9942459.70690806461881.07324733223


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')