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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, 09 Oct 2011 08:36:06 -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/2011/Oct/09/t1318163889tlr3qxq5bcgfl2s.htm/, Retrieved Sun, 19 May 2024 01:29:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127418, Retrieved Sun, 19 May 2024 01:29:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact76

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] [HD percentielen e...] [2011-10-09 12:36:06] [b59b09b8e0844ceffdb892999921d72c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14.5
15.1
17.4
16.2
15.6
17.2
14.9
13.8
17.5
16.2
17.5
16.6
16.2
16.6
19.6
15.9
18
18.3
16.3
14.9
18.2
18.4
18.5
16
17.4
17.2
19.6
17.2
18.3
19.3
18.1
16.2
18.4
20.5
19
16.5
18.7
19
19.2
20.5
19.3
20.6
20.1
16.1
20.4
19.7
15.6
14.4
13.7
14.1
15
14.2
13.6
15.4
14.8
12.5
16.2
16.1
16
15.8
14.9
15.4
18.6
17.1
16.8
19.5
17.3
15.8
19.3
18.8
18.5
17.3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127418&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]1 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=127418&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127418&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112.78723737847620.84667666389571
0.0213.16074351246910.559035629176583
0.0313.47490030500910.364927017644724
0.0413.69971272268990.294425996269338
0.0513.86438798297060.29474375123846
0.0614.00067354055740.312569147908761
0.0714.12563608741010.327291273113834
0.0814.24496128921560.334627172065916
0.0914.35919206852640.334753184197411
0.114.46744470266360.328658903746007
0.1114.56890969081550.317902369918168
0.1214.66333099135390.305008773504385
0.1314.75112442506560.293311622515108
0.1414.83332871263490.286059116751152
0.1514.91141723300640.285274382668004
0.1614.98700619412030.290922472850157
0.1715.06153785829270.301094856861004
0.1815.13602845990440.312953580110026
0.1915.21094136960740.323652798249971
0.215.28619786362710.331058220854273
0.2115.36129524234860.333941904997513
0.2215.43547972670610.332005796944527
0.2315.50792150588090.325623723602973
0.2415.57785462091620.31557901932425
0.2515.64466519559860.302841153811423
0.2615.70792972016330.288351072068569
0.2715.76741634926480.272926780799125
0.2815.82306592235860.257270282673371
0.2915.87496746935440.241960978116232
0.315.92333797212790.227567065325553
0.3115.96851045799220.214618273942089
0.3216.0109296455030.203837799862599
0.3316.05115107712840.195843767532264
0.3416.0898381180780.191457437661155
0.3516.12775122984930.191387216047958
0.3616.16572525837950.196182089003839
0.3716.20463275593770.206021115400858
0.3816.2453341642640.220731322721347
0.3916.28861854867330.239609212614408
0.416.33514099973960.261630699276375
0.4116.3853643822350.285431059141048
0.4216.43951352153410.309472481857848
0.4316.49754907905960.332201569199664
0.4416.55916638343450.352118462547017
0.4516.62382162124030.367973451386331
0.4616.69078442742240.378885598559961
0.4716.75921247693860.384404440050261
0.4816.82824059524440.38466612670751
0.4916.89707457199070.380271473055867
0.516.96507861250230.372376555838753
0.5117.03184542991480.36253066148254
0.5217.09723946706960.352495231942596
0.5317.16140657446490.344075350242405
0.5417.22474741015960.338885187228711
0.5517.28785644860120.338023113251676
0.5617.35143322900440.341996934719335
0.5717.4161766982840.350393977381942
0.5817.48267655531480.362098550032474
0.5917.55131680457180.375441428681451
0.617.62220587714590.388475975468704
0.6117.69514455937590.399179064366867
0.6217.76963784195270.405862548705861
0.6317.84495033287590.407278256958891
0.6417.92019808549750.402864542992084
0.6517.99446378203010.392736891620028
0.6618.06691831668520.377775235290121
0.6718.13693072520280.35938981535916
0.6818.20415033070220.33940893681925
0.6918.26854951017610.319837227103305
0.718.33042170029290.302555269795116
0.7118.39033595850640.289083630912924
0.7218.44905542923510.280393163918013
0.7318.50743160613520.276654604715562
0.7418.56628894951870.277351461796674
0.7518.62631524147210.281324507195329
0.7618.68797230129430.287009762601937
0.7718.75143960178740.292724186838752
0.7818.81660000802970.296855675685889
0.7918.88307220775050.298122918888022
0.818.95028838004440.295736093117711
0.8119.01760874957040.28956259814737
0.8219.08445839030410.280099458618935
0.8319.1504684720820.268503355820215
0.8419.21560652037260.256384749806072
0.8519.28028819785990.245643297188976
0.8619.3454713951860.238243183503771
0.8719.41273077774010.236155646440129
0.8819.48428469543860.241342116495246
0.8919.56289431478730.255519200327095
0.919.65150071256610.279129086246413
0.9119.75246637148120.30951487825546
0.9219.86641548195380.339548949229629
0.9319.99095900836790.357983564810296
0.9420.11997273949150.352523309964568
0.9520.24432745539930.315278798010879
0.9620.35463138346970.248883464433019
0.9720.4451725659120.169880695105577
0.9820.51595472252540.106970696707584
0.9920.56885221849460.0882828102082733

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12.7872373784762 & 0.84667666389571 \tabularnewline
0.02 & 13.1607435124691 & 0.559035629176583 \tabularnewline
0.03 & 13.4749003050091 & 0.364927017644724 \tabularnewline
0.04 & 13.6997127226899 & 0.294425996269338 \tabularnewline
0.05 & 13.8643879829706 & 0.29474375123846 \tabularnewline
0.06 & 14.0006735405574 & 0.312569147908761 \tabularnewline
0.07 & 14.1256360874101 & 0.327291273113834 \tabularnewline
0.08 & 14.2449612892156 & 0.334627172065916 \tabularnewline
0.09 & 14.3591920685264 & 0.334753184197411 \tabularnewline
0.1 & 14.4674447026636 & 0.328658903746007 \tabularnewline
0.11 & 14.5689096908155 & 0.317902369918168 \tabularnewline
0.12 & 14.6633309913539 & 0.305008773504385 \tabularnewline
0.13 & 14.7511244250656 & 0.293311622515108 \tabularnewline
0.14 & 14.8333287126349 & 0.286059116751152 \tabularnewline
0.15 & 14.9114172330064 & 0.285274382668004 \tabularnewline
0.16 & 14.9870061941203 & 0.290922472850157 \tabularnewline
0.17 & 15.0615378582927 & 0.301094856861004 \tabularnewline
0.18 & 15.1360284599044 & 0.312953580110026 \tabularnewline
0.19 & 15.2109413696074 & 0.323652798249971 \tabularnewline
0.2 & 15.2861978636271 & 0.331058220854273 \tabularnewline
0.21 & 15.3612952423486 & 0.333941904997513 \tabularnewline
0.22 & 15.4354797267061 & 0.332005796944527 \tabularnewline
0.23 & 15.5079215058809 & 0.325623723602973 \tabularnewline
0.24 & 15.5778546209162 & 0.31557901932425 \tabularnewline
0.25 & 15.6446651955986 & 0.302841153811423 \tabularnewline
0.26 & 15.7079297201633 & 0.288351072068569 \tabularnewline
0.27 & 15.7674163492648 & 0.272926780799125 \tabularnewline
0.28 & 15.8230659223586 & 0.257270282673371 \tabularnewline
0.29 & 15.8749674693544 & 0.241960978116232 \tabularnewline
0.3 & 15.9233379721279 & 0.227567065325553 \tabularnewline
0.31 & 15.9685104579922 & 0.214618273942089 \tabularnewline
0.32 & 16.010929645503 & 0.203837799862599 \tabularnewline
0.33 & 16.0511510771284 & 0.195843767532264 \tabularnewline
0.34 & 16.089838118078 & 0.191457437661155 \tabularnewline
0.35 & 16.1277512298493 & 0.191387216047958 \tabularnewline
0.36 & 16.1657252583795 & 0.196182089003839 \tabularnewline
0.37 & 16.2046327559377 & 0.206021115400858 \tabularnewline
0.38 & 16.245334164264 & 0.220731322721347 \tabularnewline
0.39 & 16.2886185486733 & 0.239609212614408 \tabularnewline
0.4 & 16.3351409997396 & 0.261630699276375 \tabularnewline
0.41 & 16.385364382235 & 0.285431059141048 \tabularnewline
0.42 & 16.4395135215341 & 0.309472481857848 \tabularnewline
0.43 & 16.4975490790596 & 0.332201569199664 \tabularnewline
0.44 & 16.5591663834345 & 0.352118462547017 \tabularnewline
0.45 & 16.6238216212403 & 0.367973451386331 \tabularnewline
0.46 & 16.6907844274224 & 0.378885598559961 \tabularnewline
0.47 & 16.7592124769386 & 0.384404440050261 \tabularnewline
0.48 & 16.8282405952444 & 0.38466612670751 \tabularnewline
0.49 & 16.8970745719907 & 0.380271473055867 \tabularnewline
0.5 & 16.9650786125023 & 0.372376555838753 \tabularnewline
0.51 & 17.0318454299148 & 0.36253066148254 \tabularnewline
0.52 & 17.0972394670696 & 0.352495231942596 \tabularnewline
0.53 & 17.1614065744649 & 0.344075350242405 \tabularnewline
0.54 & 17.2247474101596 & 0.338885187228711 \tabularnewline
0.55 & 17.2878564486012 & 0.338023113251676 \tabularnewline
0.56 & 17.3514332290044 & 0.341996934719335 \tabularnewline
0.57 & 17.416176698284 & 0.350393977381942 \tabularnewline
0.58 & 17.4826765553148 & 0.362098550032474 \tabularnewline
0.59 & 17.5513168045718 & 0.375441428681451 \tabularnewline
0.6 & 17.6222058771459 & 0.388475975468704 \tabularnewline
0.61 & 17.6951445593759 & 0.399179064366867 \tabularnewline
0.62 & 17.7696378419527 & 0.405862548705861 \tabularnewline
0.63 & 17.8449503328759 & 0.407278256958891 \tabularnewline
0.64 & 17.9201980854975 & 0.402864542992084 \tabularnewline
0.65 & 17.9944637820301 & 0.392736891620028 \tabularnewline
0.66 & 18.0669183166852 & 0.377775235290121 \tabularnewline
0.67 & 18.1369307252028 & 0.35938981535916 \tabularnewline
0.68 & 18.2041503307022 & 0.33940893681925 \tabularnewline
0.69 & 18.2685495101761 & 0.319837227103305 \tabularnewline
0.7 & 18.3304217002929 & 0.302555269795116 \tabularnewline
0.71 & 18.3903359585064 & 0.289083630912924 \tabularnewline
0.72 & 18.4490554292351 & 0.280393163918013 \tabularnewline
0.73 & 18.5074316061352 & 0.276654604715562 \tabularnewline
0.74 & 18.5662889495187 & 0.277351461796674 \tabularnewline
0.75 & 18.6263152414721 & 0.281324507195329 \tabularnewline
0.76 & 18.6879723012943 & 0.287009762601937 \tabularnewline
0.77 & 18.7514396017874 & 0.292724186838752 \tabularnewline
0.78 & 18.8166000080297 & 0.296855675685889 \tabularnewline
0.79 & 18.8830722077505 & 0.298122918888022 \tabularnewline
0.8 & 18.9502883800444 & 0.295736093117711 \tabularnewline
0.81 & 19.0176087495704 & 0.28956259814737 \tabularnewline
0.82 & 19.0844583903041 & 0.280099458618935 \tabularnewline
0.83 & 19.150468472082 & 0.268503355820215 \tabularnewline
0.84 & 19.2156065203726 & 0.256384749806072 \tabularnewline
0.85 & 19.2802881978599 & 0.245643297188976 \tabularnewline
0.86 & 19.345471395186 & 0.238243183503771 \tabularnewline
0.87 & 19.4127307777401 & 0.236155646440129 \tabularnewline
0.88 & 19.4842846954386 & 0.241342116495246 \tabularnewline
0.89 & 19.5628943147873 & 0.255519200327095 \tabularnewline
0.9 & 19.6515007125661 & 0.279129086246413 \tabularnewline
0.91 & 19.7524663714812 & 0.30951487825546 \tabularnewline
0.92 & 19.8664154819538 & 0.339548949229629 \tabularnewline
0.93 & 19.9909590083679 & 0.357983564810296 \tabularnewline
0.94 & 20.1199727394915 & 0.352523309964568 \tabularnewline
0.95 & 20.2443274553993 & 0.315278798010879 \tabularnewline
0.96 & 20.3546313834697 & 0.248883464433019 \tabularnewline
0.97 & 20.445172565912 & 0.169880695105577 \tabularnewline
0.98 & 20.5159547225254 & 0.106970696707584 \tabularnewline
0.99 & 20.5688522184946 & 0.0882828102082733 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127418&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]12.7872373784762[/C][C]0.84667666389571[/C][/ROW]
[ROW][C]0.02[/C][C]13.1607435124691[/C][C]0.559035629176583[/C][/ROW]
[ROW][C]0.03[/C][C]13.4749003050091[/C][C]0.364927017644724[/C][/ROW]
[ROW][C]0.04[/C][C]13.6997127226899[/C][C]0.294425996269338[/C][/ROW]
[ROW][C]0.05[/C][C]13.8643879829706[/C][C]0.29474375123846[/C][/ROW]
[ROW][C]0.06[/C][C]14.0006735405574[/C][C]0.312569147908761[/C][/ROW]
[ROW][C]0.07[/C][C]14.1256360874101[/C][C]0.327291273113834[/C][/ROW]
[ROW][C]0.08[/C][C]14.2449612892156[/C][C]0.334627172065916[/C][/ROW]
[ROW][C]0.09[/C][C]14.3591920685264[/C][C]0.334753184197411[/C][/ROW]
[ROW][C]0.1[/C][C]14.4674447026636[/C][C]0.328658903746007[/C][/ROW]
[ROW][C]0.11[/C][C]14.5689096908155[/C][C]0.317902369918168[/C][/ROW]
[ROW][C]0.12[/C][C]14.6633309913539[/C][C]0.305008773504385[/C][/ROW]
[ROW][C]0.13[/C][C]14.7511244250656[/C][C]0.293311622515108[/C][/ROW]
[ROW][C]0.14[/C][C]14.8333287126349[/C][C]0.286059116751152[/C][/ROW]
[ROW][C]0.15[/C][C]14.9114172330064[/C][C]0.285274382668004[/C][/ROW]
[ROW][C]0.16[/C][C]14.9870061941203[/C][C]0.290922472850157[/C][/ROW]
[ROW][C]0.17[/C][C]15.0615378582927[/C][C]0.301094856861004[/C][/ROW]
[ROW][C]0.18[/C][C]15.1360284599044[/C][C]0.312953580110026[/C][/ROW]
[ROW][C]0.19[/C][C]15.2109413696074[/C][C]0.323652798249971[/C][/ROW]
[ROW][C]0.2[/C][C]15.2861978636271[/C][C]0.331058220854273[/C][/ROW]
[ROW][C]0.21[/C][C]15.3612952423486[/C][C]0.333941904997513[/C][/ROW]
[ROW][C]0.22[/C][C]15.4354797267061[/C][C]0.332005796944527[/C][/ROW]
[ROW][C]0.23[/C][C]15.5079215058809[/C][C]0.325623723602973[/C][/ROW]
[ROW][C]0.24[/C][C]15.5778546209162[/C][C]0.31557901932425[/C][/ROW]
[ROW][C]0.25[/C][C]15.6446651955986[/C][C]0.302841153811423[/C][/ROW]
[ROW][C]0.26[/C][C]15.7079297201633[/C][C]0.288351072068569[/C][/ROW]
[ROW][C]0.27[/C][C]15.7674163492648[/C][C]0.272926780799125[/C][/ROW]
[ROW][C]0.28[/C][C]15.8230659223586[/C][C]0.257270282673371[/C][/ROW]
[ROW][C]0.29[/C][C]15.8749674693544[/C][C]0.241960978116232[/C][/ROW]
[ROW][C]0.3[/C][C]15.9233379721279[/C][C]0.227567065325553[/C][/ROW]
[ROW][C]0.31[/C][C]15.9685104579922[/C][C]0.214618273942089[/C][/ROW]
[ROW][C]0.32[/C][C]16.010929645503[/C][C]0.203837799862599[/C][/ROW]
[ROW][C]0.33[/C][C]16.0511510771284[/C][C]0.195843767532264[/C][/ROW]
[ROW][C]0.34[/C][C]16.089838118078[/C][C]0.191457437661155[/C][/ROW]
[ROW][C]0.35[/C][C]16.1277512298493[/C][C]0.191387216047958[/C][/ROW]
[ROW][C]0.36[/C][C]16.1657252583795[/C][C]0.196182089003839[/C][/ROW]
[ROW][C]0.37[/C][C]16.2046327559377[/C][C]0.206021115400858[/C][/ROW]
[ROW][C]0.38[/C][C]16.245334164264[/C][C]0.220731322721347[/C][/ROW]
[ROW][C]0.39[/C][C]16.2886185486733[/C][C]0.239609212614408[/C][/ROW]
[ROW][C]0.4[/C][C]16.3351409997396[/C][C]0.261630699276375[/C][/ROW]
[ROW][C]0.41[/C][C]16.385364382235[/C][C]0.285431059141048[/C][/ROW]
[ROW][C]0.42[/C][C]16.4395135215341[/C][C]0.309472481857848[/C][/ROW]
[ROW][C]0.43[/C][C]16.4975490790596[/C][C]0.332201569199664[/C][/ROW]
[ROW][C]0.44[/C][C]16.5591663834345[/C][C]0.352118462547017[/C][/ROW]
[ROW][C]0.45[/C][C]16.6238216212403[/C][C]0.367973451386331[/C][/ROW]
[ROW][C]0.46[/C][C]16.6907844274224[/C][C]0.378885598559961[/C][/ROW]
[ROW][C]0.47[/C][C]16.7592124769386[/C][C]0.384404440050261[/C][/ROW]
[ROW][C]0.48[/C][C]16.8282405952444[/C][C]0.38466612670751[/C][/ROW]
[ROW][C]0.49[/C][C]16.8970745719907[/C][C]0.380271473055867[/C][/ROW]
[ROW][C]0.5[/C][C]16.9650786125023[/C][C]0.372376555838753[/C][/ROW]
[ROW][C]0.51[/C][C]17.0318454299148[/C][C]0.36253066148254[/C][/ROW]
[ROW][C]0.52[/C][C]17.0972394670696[/C][C]0.352495231942596[/C][/ROW]
[ROW][C]0.53[/C][C]17.1614065744649[/C][C]0.344075350242405[/C][/ROW]
[ROW][C]0.54[/C][C]17.2247474101596[/C][C]0.338885187228711[/C][/ROW]
[ROW][C]0.55[/C][C]17.2878564486012[/C][C]0.338023113251676[/C][/ROW]
[ROW][C]0.56[/C][C]17.3514332290044[/C][C]0.341996934719335[/C][/ROW]
[ROW][C]0.57[/C][C]17.416176698284[/C][C]0.350393977381942[/C][/ROW]
[ROW][C]0.58[/C][C]17.4826765553148[/C][C]0.362098550032474[/C][/ROW]
[ROW][C]0.59[/C][C]17.5513168045718[/C][C]0.375441428681451[/C][/ROW]
[ROW][C]0.6[/C][C]17.6222058771459[/C][C]0.388475975468704[/C][/ROW]
[ROW][C]0.61[/C][C]17.6951445593759[/C][C]0.399179064366867[/C][/ROW]
[ROW][C]0.62[/C][C]17.7696378419527[/C][C]0.405862548705861[/C][/ROW]
[ROW][C]0.63[/C][C]17.8449503328759[/C][C]0.407278256958891[/C][/ROW]
[ROW][C]0.64[/C][C]17.9201980854975[/C][C]0.402864542992084[/C][/ROW]
[ROW][C]0.65[/C][C]17.9944637820301[/C][C]0.392736891620028[/C][/ROW]
[ROW][C]0.66[/C][C]18.0669183166852[/C][C]0.377775235290121[/C][/ROW]
[ROW][C]0.67[/C][C]18.1369307252028[/C][C]0.35938981535916[/C][/ROW]
[ROW][C]0.68[/C][C]18.2041503307022[/C][C]0.33940893681925[/C][/ROW]
[ROW][C]0.69[/C][C]18.2685495101761[/C][C]0.319837227103305[/C][/ROW]
[ROW][C]0.7[/C][C]18.3304217002929[/C][C]0.302555269795116[/C][/ROW]
[ROW][C]0.71[/C][C]18.3903359585064[/C][C]0.289083630912924[/C][/ROW]
[ROW][C]0.72[/C][C]18.4490554292351[/C][C]0.280393163918013[/C][/ROW]
[ROW][C]0.73[/C][C]18.5074316061352[/C][C]0.276654604715562[/C][/ROW]
[ROW][C]0.74[/C][C]18.5662889495187[/C][C]0.277351461796674[/C][/ROW]
[ROW][C]0.75[/C][C]18.6263152414721[/C][C]0.281324507195329[/C][/ROW]
[ROW][C]0.76[/C][C]18.6879723012943[/C][C]0.287009762601937[/C][/ROW]
[ROW][C]0.77[/C][C]18.7514396017874[/C][C]0.292724186838752[/C][/ROW]
[ROW][C]0.78[/C][C]18.8166000080297[/C][C]0.296855675685889[/C][/ROW]
[ROW][C]0.79[/C][C]18.8830722077505[/C][C]0.298122918888022[/C][/ROW]
[ROW][C]0.8[/C][C]18.9502883800444[/C][C]0.295736093117711[/C][/ROW]
[ROW][C]0.81[/C][C]19.0176087495704[/C][C]0.28956259814737[/C][/ROW]
[ROW][C]0.82[/C][C]19.0844583903041[/C][C]0.280099458618935[/C][/ROW]
[ROW][C]0.83[/C][C]19.150468472082[/C][C]0.268503355820215[/C][/ROW]
[ROW][C]0.84[/C][C]19.2156065203726[/C][C]0.256384749806072[/C][/ROW]
[ROW][C]0.85[/C][C]19.2802881978599[/C][C]0.245643297188976[/C][/ROW]
[ROW][C]0.86[/C][C]19.345471395186[/C][C]0.238243183503771[/C][/ROW]
[ROW][C]0.87[/C][C]19.4127307777401[/C][C]0.236155646440129[/C][/ROW]
[ROW][C]0.88[/C][C]19.4842846954386[/C][C]0.241342116495246[/C][/ROW]
[ROW][C]0.89[/C][C]19.5628943147873[/C][C]0.255519200327095[/C][/ROW]
[ROW][C]0.9[/C][C]19.6515007125661[/C][C]0.279129086246413[/C][/ROW]
[ROW][C]0.91[/C][C]19.7524663714812[/C][C]0.30951487825546[/C][/ROW]
[ROW][C]0.92[/C][C]19.8664154819538[/C][C]0.339548949229629[/C][/ROW]
[ROW][C]0.93[/C][C]19.9909590083679[/C][C]0.357983564810296[/C][/ROW]
[ROW][C]0.94[/C][C]20.1199727394915[/C][C]0.352523309964568[/C][/ROW]
[ROW][C]0.95[/C][C]20.2443274553993[/C][C]0.315278798010879[/C][/ROW]
[ROW][C]0.96[/C][C]20.3546313834697[/C][C]0.248883464433019[/C][/ROW]
[ROW][C]0.97[/C][C]20.445172565912[/C][C]0.169880695105577[/C][/ROW]
[ROW][C]0.98[/C][C]20.5159547225254[/C][C]0.106970696707584[/C][/ROW]
[ROW][C]0.99[/C][C]20.5688522184946[/C][C]0.0882828102082733[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127418&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127418&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
0.0112.78723737847620.84667666389571
0.0213.16074351246910.559035629176583
0.0313.47490030500910.364927017644724
0.0413.69971272268990.294425996269338
0.0513.86438798297060.29474375123846
0.0614.00067354055740.312569147908761
0.0714.12563608741010.327291273113834
0.0814.24496128921560.334627172065916
0.0914.35919206852640.334753184197411
0.114.46744470266360.328658903746007
0.1114.56890969081550.317902369918168
0.1214.66333099135390.305008773504385
0.1314.75112442506560.293311622515108
0.1414.83332871263490.286059116751152
0.1514.91141723300640.285274382668004
0.1614.98700619412030.290922472850157
0.1715.06153785829270.301094856861004
0.1815.13602845990440.312953580110026
0.1915.21094136960740.323652798249971
0.215.28619786362710.331058220854273
0.2115.36129524234860.333941904997513
0.2215.43547972670610.332005796944527
0.2315.50792150588090.325623723602973
0.2415.57785462091620.31557901932425
0.2515.64466519559860.302841153811423
0.2615.70792972016330.288351072068569
0.2715.76741634926480.272926780799125
0.2815.82306592235860.257270282673371
0.2915.87496746935440.241960978116232
0.315.92333797212790.227567065325553
0.3115.96851045799220.214618273942089
0.3216.0109296455030.203837799862599
0.3316.05115107712840.195843767532264
0.3416.0898381180780.191457437661155
0.3516.12775122984930.191387216047958
0.3616.16572525837950.196182089003839
0.3716.20463275593770.206021115400858
0.3816.2453341642640.220731322721347
0.3916.28861854867330.239609212614408
0.416.33514099973960.261630699276375
0.4116.3853643822350.285431059141048
0.4216.43951352153410.309472481857848
0.4316.49754907905960.332201569199664
0.4416.55916638343450.352118462547017
0.4516.62382162124030.367973451386331
0.4616.69078442742240.378885598559961
0.4716.75921247693860.384404440050261
0.4816.82824059524440.38466612670751
0.4916.89707457199070.380271473055867
0.516.96507861250230.372376555838753
0.5117.03184542991480.36253066148254
0.5217.09723946706960.352495231942596
0.5317.16140657446490.344075350242405
0.5417.22474741015960.338885187228711
0.5517.28785644860120.338023113251676
0.5617.35143322900440.341996934719335
0.5717.4161766982840.350393977381942
0.5817.48267655531480.362098550032474
0.5917.55131680457180.375441428681451
0.617.62220587714590.388475975468704
0.6117.69514455937590.399179064366867
0.6217.76963784195270.405862548705861
0.6317.84495033287590.407278256958891
0.6417.92019808549750.402864542992084
0.6517.99446378203010.392736891620028
0.6618.06691831668520.377775235290121
0.6718.13693072520280.35938981535916
0.6818.20415033070220.33940893681925
0.6918.26854951017610.319837227103305
0.718.33042170029290.302555269795116
0.7118.39033595850640.289083630912924
0.7218.44905542923510.280393163918013
0.7318.50743160613520.276654604715562
0.7418.56628894951870.277351461796674
0.7518.62631524147210.281324507195329
0.7618.68797230129430.287009762601937
0.7718.75143960178740.292724186838752
0.7818.81660000802970.296855675685889
0.7918.88307220775050.298122918888022
0.818.95028838004440.295736093117711
0.8119.01760874957040.28956259814737
0.8219.08445839030410.280099458618935
0.8319.1504684720820.268503355820215
0.8419.21560652037260.256384749806072
0.8519.28028819785990.245643297188976
0.8619.3454713951860.238243183503771
0.8719.41273077774010.236155646440129
0.8819.48428469543860.241342116495246
0.8919.56289431478730.255519200327095
0.919.65150071256610.279129086246413
0.9119.75246637148120.30951487825546
0.9219.86641548195380.339548949229629
0.9319.99095900836790.357983564810296
0.9420.11997273949150.352523309964568
0.9520.24432745539930.315278798010879
0.9620.35463138346970.248883464433019
0.9720.4451725659120.169880695105577
0.9820.51595472252540.106970696707584
0.9920.56885221849460.0882828102082733


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')