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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 computationWed, 05 Oct 2016 17:48:38 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/05/t14756861897bekbt80699rbu5.htm/, Retrieved Sun, 05 May 2024 16:36:33 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 16:36:33 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12200
10644
12044
11338
11292
10612
10995
10686
10635
11285
11475
12535
12490
12511
12799
11876
11602
11062
11055
10855
10704
11510
11663
12686
13516
12539
13811
12354
11441
10814
11261
10788
10326
11490
11029
11876
12198
11142
12008
11258
11367
10596
11721
11199
10972
11635
11725
13402
14955
13183
13673
12195
11811
11138
11590
11174
11250
12235
11612
12318

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110381.0889082387217.241871671121
0.0210455.1162243423153.665512507025
0.0310522.636648808898.8854544651658
0.0410573.081376637964.0697801068063
0.0510607.930204205749.4637017394758
0.0610633.041968399149.1057372432738
0.0710653.811608553855.9169853024398
0.0810673.720667939265.7313623738979
0.0910694.570156262476.5877943868299
0.110717.087912777687.3952056279774
0.1110741.404910986597.4278438049196
0.1210767.3367506555106.143263816672
0.1310794.5350969464113.169101556723
0.1410822.5722966704118.268648636548
0.1510850.9955104338121.331411677377
0.1610879.3667727839122.406855793631
0.1710907.2947636206121.671012534945
0.1810934.4590425207119.493462295408
0.1910960.6254912458116.261654117209
0.210985.6516037744112.455717289252
0.2111009.4814176863108.505031659475
0.2211032.1316116426104.757981371352
0.2311053.671867532101.39565825193
0.2411074.203442197398.5116821168105
0.2511093.839777177196.0604083261295
0.2611112.692015660493.9641697224997
0.2711130.860853373292.1396475532439
0.2811148.434651028790.5139717064602
0.2911165.492527256389.0790421094071
0.311182.110424433987.8529736210587
0.3111198.367930145886.949119661
0.3211214.353865771886.4773921037977
0.3311230.169186794786.5704038857313
0.3411245.926432353587.3641931515761
0.3511261.745684887188.8946059163187
0.3611277.747648815291.1746222973298
0.3711294.04494958494.0963120058414
0.3811310.733036760997.5434981952625
0.3911327.8821225396101.268756898616
0.411345.5314088208105.058317197389
0.4111363.6864945725108.663716464809
0.4211382.3203805027111.895642725625
0.4311401.3779847153114.576689145598
0.4411420.7836329796116.623135104692
0.4511440.4506539079117.995150308225
0.4611460.2920266803118.742128259613
0.4711480.2309988459118.959357884394
0.4811500.2106893693118.821599716692
0.4911520.2018769583118.517280231177
0.511540.2084020892118.280525821729
0.5111560.2698463051118.347005896104
0.5211580.461369838118.953969395394
0.5311600.8907764023120.304058026274
0.5411621.6930291655122.567590765084
0.5511643.0225661426125.804588871375
0.5611665.0438600968130.075092655405
0.5711687.9207422331135.308921296617
0.5811711.8050677979141.394412626114
0.5911736.8253555559148.117737362099
0.611763.0760935101155.232713036838
0.6111790.6084766101162.434064017681
0.6211819.4234210351169.410438554673
0.6311849.467754286175.812316563831
0.6411880.6344569043181.293227668091
0.6511912.7676609148185.581672745558
0.6611945.6727291586188.438883440311
0.6711979.1311234427189.746481063625
0.6812012.9189632003189.48916142584
0.6912046.8273165266187.813913961072
0.712080.6815749092184.979393822938
0.7112114.3570122289181.339422087543
0.7212147.7880633465177.352797980207
0.7312180.9701055023173.409276967682
0.7412213.9545072096169.869976587845
0.7512246.8400825718166.956670685653
0.7612279.7662586584164.748766126079
0.7712312.9144692211163.279917361978
0.7812346.5237694744162.551515521263
0.7912380.9238822174162.772372083114
0.812416.5837410346164.434886767875
0.8112454.1666370007168.415667982638
0.8212494.5755973013175.94093738132
0.8312538.9666664083188.333900512247
0.8412588.7059306526206.548270165879
0.8512645.2511858148230.7223006869
0.8612709.9532565258259.762614817806
0.8712783.795611858291.230579086948
0.8812867.1218091635321.533694218395
0.8912959.4334245089346.316694619208
0.913059.371507841361.382877825271
0.9113165.0233506396363.747161388442
0.9213274.7337924641352.906889130195
0.9313388.6424929729332.13390245661
0.9413511.1029490349310.21845457341
0.9513653.5662104641305.127996892068
0.9613835.7053349586348.148627127494
0.9714079.3279814375472.600861989927
0.9814388.1019782943683.209408241754
0.9914715.7484343419933.561457338129

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10381.0889082387 & 217.241871671121 \tabularnewline
0.02 & 10455.1162243423 & 153.665512507025 \tabularnewline
0.03 & 10522.6366488088 & 98.8854544651658 \tabularnewline
0.04 & 10573.0813766379 & 64.0697801068063 \tabularnewline
0.05 & 10607.9302042057 & 49.4637017394758 \tabularnewline
0.06 & 10633.0419683991 & 49.1057372432738 \tabularnewline
0.07 & 10653.8116085538 & 55.9169853024398 \tabularnewline
0.08 & 10673.7206679392 & 65.7313623738979 \tabularnewline
0.09 & 10694.5701562624 & 76.5877943868299 \tabularnewline
0.1 & 10717.0879127776 & 87.3952056279774 \tabularnewline
0.11 & 10741.4049109865 & 97.4278438049196 \tabularnewline
0.12 & 10767.3367506555 & 106.143263816672 \tabularnewline
0.13 & 10794.5350969464 & 113.169101556723 \tabularnewline
0.14 & 10822.5722966704 & 118.268648636548 \tabularnewline
0.15 & 10850.9955104338 & 121.331411677377 \tabularnewline
0.16 & 10879.3667727839 & 122.406855793631 \tabularnewline
0.17 & 10907.2947636206 & 121.671012534945 \tabularnewline
0.18 & 10934.4590425207 & 119.493462295408 \tabularnewline
0.19 & 10960.6254912458 & 116.261654117209 \tabularnewline
0.2 & 10985.6516037744 & 112.455717289252 \tabularnewline
0.21 & 11009.4814176863 & 108.505031659475 \tabularnewline
0.22 & 11032.1316116426 & 104.757981371352 \tabularnewline
0.23 & 11053.671867532 & 101.39565825193 \tabularnewline
0.24 & 11074.2034421973 & 98.5116821168105 \tabularnewline
0.25 & 11093.8397771771 & 96.0604083261295 \tabularnewline
0.26 & 11112.6920156604 & 93.9641697224997 \tabularnewline
0.27 & 11130.8608533732 & 92.1396475532439 \tabularnewline
0.28 & 11148.4346510287 & 90.5139717064602 \tabularnewline
0.29 & 11165.4925272563 & 89.0790421094071 \tabularnewline
0.3 & 11182.1104244339 & 87.8529736210587 \tabularnewline
0.31 & 11198.3679301458 & 86.949119661 \tabularnewline
0.32 & 11214.3538657718 & 86.4773921037977 \tabularnewline
0.33 & 11230.1691867947 & 86.5704038857313 \tabularnewline
0.34 & 11245.9264323535 & 87.3641931515761 \tabularnewline
0.35 & 11261.7456848871 & 88.8946059163187 \tabularnewline
0.36 & 11277.7476488152 & 91.1746222973298 \tabularnewline
0.37 & 11294.044949584 & 94.0963120058414 \tabularnewline
0.38 & 11310.7330367609 & 97.5434981952625 \tabularnewline
0.39 & 11327.8821225396 & 101.268756898616 \tabularnewline
0.4 & 11345.5314088208 & 105.058317197389 \tabularnewline
0.41 & 11363.6864945725 & 108.663716464809 \tabularnewline
0.42 & 11382.3203805027 & 111.895642725625 \tabularnewline
0.43 & 11401.3779847153 & 114.576689145598 \tabularnewline
0.44 & 11420.7836329796 & 116.623135104692 \tabularnewline
0.45 & 11440.4506539079 & 117.995150308225 \tabularnewline
0.46 & 11460.2920266803 & 118.742128259613 \tabularnewline
0.47 & 11480.2309988459 & 118.959357884394 \tabularnewline
0.48 & 11500.2106893693 & 118.821599716692 \tabularnewline
0.49 & 11520.2018769583 & 118.517280231177 \tabularnewline
0.5 & 11540.2084020892 & 118.280525821729 \tabularnewline
0.51 & 11560.2698463051 & 118.347005896104 \tabularnewline
0.52 & 11580.461369838 & 118.953969395394 \tabularnewline
0.53 & 11600.8907764023 & 120.304058026274 \tabularnewline
0.54 & 11621.6930291655 & 122.567590765084 \tabularnewline
0.55 & 11643.0225661426 & 125.804588871375 \tabularnewline
0.56 & 11665.0438600968 & 130.075092655405 \tabularnewline
0.57 & 11687.9207422331 & 135.308921296617 \tabularnewline
0.58 & 11711.8050677979 & 141.394412626114 \tabularnewline
0.59 & 11736.8253555559 & 148.117737362099 \tabularnewline
0.6 & 11763.0760935101 & 155.232713036838 \tabularnewline
0.61 & 11790.6084766101 & 162.434064017681 \tabularnewline
0.62 & 11819.4234210351 & 169.410438554673 \tabularnewline
0.63 & 11849.467754286 & 175.812316563831 \tabularnewline
0.64 & 11880.6344569043 & 181.293227668091 \tabularnewline
0.65 & 11912.7676609148 & 185.581672745558 \tabularnewline
0.66 & 11945.6727291586 & 188.438883440311 \tabularnewline
0.67 & 11979.1311234427 & 189.746481063625 \tabularnewline
0.68 & 12012.9189632003 & 189.48916142584 \tabularnewline
0.69 & 12046.8273165266 & 187.813913961072 \tabularnewline
0.7 & 12080.6815749092 & 184.979393822938 \tabularnewline
0.71 & 12114.3570122289 & 181.339422087543 \tabularnewline
0.72 & 12147.7880633465 & 177.352797980207 \tabularnewline
0.73 & 12180.9701055023 & 173.409276967682 \tabularnewline
0.74 & 12213.9545072096 & 169.869976587845 \tabularnewline
0.75 & 12246.8400825718 & 166.956670685653 \tabularnewline
0.76 & 12279.7662586584 & 164.748766126079 \tabularnewline
0.77 & 12312.9144692211 & 163.279917361978 \tabularnewline
0.78 & 12346.5237694744 & 162.551515521263 \tabularnewline
0.79 & 12380.9238822174 & 162.772372083114 \tabularnewline
0.8 & 12416.5837410346 & 164.434886767875 \tabularnewline
0.81 & 12454.1666370007 & 168.415667982638 \tabularnewline
0.82 & 12494.5755973013 & 175.94093738132 \tabularnewline
0.83 & 12538.9666664083 & 188.333900512247 \tabularnewline
0.84 & 12588.7059306526 & 206.548270165879 \tabularnewline
0.85 & 12645.2511858148 & 230.7223006869 \tabularnewline
0.86 & 12709.9532565258 & 259.762614817806 \tabularnewline
0.87 & 12783.795611858 & 291.230579086948 \tabularnewline
0.88 & 12867.1218091635 & 321.533694218395 \tabularnewline
0.89 & 12959.4334245089 & 346.316694619208 \tabularnewline
0.9 & 13059.371507841 & 361.382877825271 \tabularnewline
0.91 & 13165.0233506396 & 363.747161388442 \tabularnewline
0.92 & 13274.7337924641 & 352.906889130195 \tabularnewline
0.93 & 13388.6424929729 & 332.13390245661 \tabularnewline
0.94 & 13511.1029490349 & 310.21845457341 \tabularnewline
0.95 & 13653.5662104641 & 305.127996892068 \tabularnewline
0.96 & 13835.7053349586 & 348.148627127494 \tabularnewline
0.97 & 14079.3279814375 & 472.600861989927 \tabularnewline
0.98 & 14388.1019782943 & 683.209408241754 \tabularnewline
0.99 & 14715.7484343419 & 933.561457338129 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]10381.0889082387[/C][C]217.241871671121[/C][/ROW]
[ROW][C]0.02[/C][C]10455.1162243423[/C][C]153.665512507025[/C][/ROW]
[ROW][C]0.03[/C][C]10522.6366488088[/C][C]98.8854544651658[/C][/ROW]
[ROW][C]0.04[/C][C]10573.0813766379[/C][C]64.0697801068063[/C][/ROW]
[ROW][C]0.05[/C][C]10607.9302042057[/C][C]49.4637017394758[/C][/ROW]
[ROW][C]0.06[/C][C]10633.0419683991[/C][C]49.1057372432738[/C][/ROW]
[ROW][C]0.07[/C][C]10653.8116085538[/C][C]55.9169853024398[/C][/ROW]
[ROW][C]0.08[/C][C]10673.7206679392[/C][C]65.7313623738979[/C][/ROW]
[ROW][C]0.09[/C][C]10694.5701562624[/C][C]76.5877943868299[/C][/ROW]
[ROW][C]0.1[/C][C]10717.0879127776[/C][C]87.3952056279774[/C][/ROW]
[ROW][C]0.11[/C][C]10741.4049109865[/C][C]97.4278438049196[/C][/ROW]
[ROW][C]0.12[/C][C]10767.3367506555[/C][C]106.143263816672[/C][/ROW]
[ROW][C]0.13[/C][C]10794.5350969464[/C][C]113.169101556723[/C][/ROW]
[ROW][C]0.14[/C][C]10822.5722966704[/C][C]118.268648636548[/C][/ROW]
[ROW][C]0.15[/C][C]10850.9955104338[/C][C]121.331411677377[/C][/ROW]
[ROW][C]0.16[/C][C]10879.3667727839[/C][C]122.406855793631[/C][/ROW]
[ROW][C]0.17[/C][C]10907.2947636206[/C][C]121.671012534945[/C][/ROW]
[ROW][C]0.18[/C][C]10934.4590425207[/C][C]119.493462295408[/C][/ROW]
[ROW][C]0.19[/C][C]10960.6254912458[/C][C]116.261654117209[/C][/ROW]
[ROW][C]0.2[/C][C]10985.6516037744[/C][C]112.455717289252[/C][/ROW]
[ROW][C]0.21[/C][C]11009.4814176863[/C][C]108.505031659475[/C][/ROW]
[ROW][C]0.22[/C][C]11032.1316116426[/C][C]104.757981371352[/C][/ROW]
[ROW][C]0.23[/C][C]11053.671867532[/C][C]101.39565825193[/C][/ROW]
[ROW][C]0.24[/C][C]11074.2034421973[/C][C]98.5116821168105[/C][/ROW]
[ROW][C]0.25[/C][C]11093.8397771771[/C][C]96.0604083261295[/C][/ROW]
[ROW][C]0.26[/C][C]11112.6920156604[/C][C]93.9641697224997[/C][/ROW]
[ROW][C]0.27[/C][C]11130.8608533732[/C][C]92.1396475532439[/C][/ROW]
[ROW][C]0.28[/C][C]11148.4346510287[/C][C]90.5139717064602[/C][/ROW]
[ROW][C]0.29[/C][C]11165.4925272563[/C][C]89.0790421094071[/C][/ROW]
[ROW][C]0.3[/C][C]11182.1104244339[/C][C]87.8529736210587[/C][/ROW]
[ROW][C]0.31[/C][C]11198.3679301458[/C][C]86.949119661[/C][/ROW]
[ROW][C]0.32[/C][C]11214.3538657718[/C][C]86.4773921037977[/C][/ROW]
[ROW][C]0.33[/C][C]11230.1691867947[/C][C]86.5704038857313[/C][/ROW]
[ROW][C]0.34[/C][C]11245.9264323535[/C][C]87.3641931515761[/C][/ROW]
[ROW][C]0.35[/C][C]11261.7456848871[/C][C]88.8946059163187[/C][/ROW]
[ROW][C]0.36[/C][C]11277.7476488152[/C][C]91.1746222973298[/C][/ROW]
[ROW][C]0.37[/C][C]11294.044949584[/C][C]94.0963120058414[/C][/ROW]
[ROW][C]0.38[/C][C]11310.7330367609[/C][C]97.5434981952625[/C][/ROW]
[ROW][C]0.39[/C][C]11327.8821225396[/C][C]101.268756898616[/C][/ROW]
[ROW][C]0.4[/C][C]11345.5314088208[/C][C]105.058317197389[/C][/ROW]
[ROW][C]0.41[/C][C]11363.6864945725[/C][C]108.663716464809[/C][/ROW]
[ROW][C]0.42[/C][C]11382.3203805027[/C][C]111.895642725625[/C][/ROW]
[ROW][C]0.43[/C][C]11401.3779847153[/C][C]114.576689145598[/C][/ROW]
[ROW][C]0.44[/C][C]11420.7836329796[/C][C]116.623135104692[/C][/ROW]
[ROW][C]0.45[/C][C]11440.4506539079[/C][C]117.995150308225[/C][/ROW]
[ROW][C]0.46[/C][C]11460.2920266803[/C][C]118.742128259613[/C][/ROW]
[ROW][C]0.47[/C][C]11480.2309988459[/C][C]118.959357884394[/C][/ROW]
[ROW][C]0.48[/C][C]11500.2106893693[/C][C]118.821599716692[/C][/ROW]
[ROW][C]0.49[/C][C]11520.2018769583[/C][C]118.517280231177[/C][/ROW]
[ROW][C]0.5[/C][C]11540.2084020892[/C][C]118.280525821729[/C][/ROW]
[ROW][C]0.51[/C][C]11560.2698463051[/C][C]118.347005896104[/C][/ROW]
[ROW][C]0.52[/C][C]11580.461369838[/C][C]118.953969395394[/C][/ROW]
[ROW][C]0.53[/C][C]11600.8907764023[/C][C]120.304058026274[/C][/ROW]
[ROW][C]0.54[/C][C]11621.6930291655[/C][C]122.567590765084[/C][/ROW]
[ROW][C]0.55[/C][C]11643.0225661426[/C][C]125.804588871375[/C][/ROW]
[ROW][C]0.56[/C][C]11665.0438600968[/C][C]130.075092655405[/C][/ROW]
[ROW][C]0.57[/C][C]11687.9207422331[/C][C]135.308921296617[/C][/ROW]
[ROW][C]0.58[/C][C]11711.8050677979[/C][C]141.394412626114[/C][/ROW]
[ROW][C]0.59[/C][C]11736.8253555559[/C][C]148.117737362099[/C][/ROW]
[ROW][C]0.6[/C][C]11763.0760935101[/C][C]155.232713036838[/C][/ROW]
[ROW][C]0.61[/C][C]11790.6084766101[/C][C]162.434064017681[/C][/ROW]
[ROW][C]0.62[/C][C]11819.4234210351[/C][C]169.410438554673[/C][/ROW]
[ROW][C]0.63[/C][C]11849.467754286[/C][C]175.812316563831[/C][/ROW]
[ROW][C]0.64[/C][C]11880.6344569043[/C][C]181.293227668091[/C][/ROW]
[ROW][C]0.65[/C][C]11912.7676609148[/C][C]185.581672745558[/C][/ROW]
[ROW][C]0.66[/C][C]11945.6727291586[/C][C]188.438883440311[/C][/ROW]
[ROW][C]0.67[/C][C]11979.1311234427[/C][C]189.746481063625[/C][/ROW]
[ROW][C]0.68[/C][C]12012.9189632003[/C][C]189.48916142584[/C][/ROW]
[ROW][C]0.69[/C][C]12046.8273165266[/C][C]187.813913961072[/C][/ROW]
[ROW][C]0.7[/C][C]12080.6815749092[/C][C]184.979393822938[/C][/ROW]
[ROW][C]0.71[/C][C]12114.3570122289[/C][C]181.339422087543[/C][/ROW]
[ROW][C]0.72[/C][C]12147.7880633465[/C][C]177.352797980207[/C][/ROW]
[ROW][C]0.73[/C][C]12180.9701055023[/C][C]173.409276967682[/C][/ROW]
[ROW][C]0.74[/C][C]12213.9545072096[/C][C]169.869976587845[/C][/ROW]
[ROW][C]0.75[/C][C]12246.8400825718[/C][C]166.956670685653[/C][/ROW]
[ROW][C]0.76[/C][C]12279.7662586584[/C][C]164.748766126079[/C][/ROW]
[ROW][C]0.77[/C][C]12312.9144692211[/C][C]163.279917361978[/C][/ROW]
[ROW][C]0.78[/C][C]12346.5237694744[/C][C]162.551515521263[/C][/ROW]
[ROW][C]0.79[/C][C]12380.9238822174[/C][C]162.772372083114[/C][/ROW]
[ROW][C]0.8[/C][C]12416.5837410346[/C][C]164.434886767875[/C][/ROW]
[ROW][C]0.81[/C][C]12454.1666370007[/C][C]168.415667982638[/C][/ROW]
[ROW][C]0.82[/C][C]12494.5755973013[/C][C]175.94093738132[/C][/ROW]
[ROW][C]0.83[/C][C]12538.9666664083[/C][C]188.333900512247[/C][/ROW]
[ROW][C]0.84[/C][C]12588.7059306526[/C][C]206.548270165879[/C][/ROW]
[ROW][C]0.85[/C][C]12645.2511858148[/C][C]230.7223006869[/C][/ROW]
[ROW][C]0.86[/C][C]12709.9532565258[/C][C]259.762614817806[/C][/ROW]
[ROW][C]0.87[/C][C]12783.795611858[/C][C]291.230579086948[/C][/ROW]
[ROW][C]0.88[/C][C]12867.1218091635[/C][C]321.533694218395[/C][/ROW]
[ROW][C]0.89[/C][C]12959.4334245089[/C][C]346.316694619208[/C][/ROW]
[ROW][C]0.9[/C][C]13059.371507841[/C][C]361.382877825271[/C][/ROW]
[ROW][C]0.91[/C][C]13165.0233506396[/C][C]363.747161388442[/C][/ROW]
[ROW][C]0.92[/C][C]13274.7337924641[/C][C]352.906889130195[/C][/ROW]
[ROW][C]0.93[/C][C]13388.6424929729[/C][C]332.13390245661[/C][/ROW]
[ROW][C]0.94[/C][C]13511.1029490349[/C][C]310.21845457341[/C][/ROW]
[ROW][C]0.95[/C][C]13653.5662104641[/C][C]305.127996892068[/C][/ROW]
[ROW][C]0.96[/C][C]13835.7053349586[/C][C]348.148627127494[/C][/ROW]
[ROW][C]0.97[/C][C]14079.3279814375[/C][C]472.600861989927[/C][/ROW]
[ROW][C]0.98[/C][C]14388.1019782943[/C][C]683.209408241754[/C][/ROW]
[ROW][C]0.99[/C][C]14715.7484343419[/C][C]933.561457338129[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0110381.0889082387217.241871671121
0.0210455.1162243423153.665512507025
0.0310522.636648808898.8854544651658
0.0410573.081376637964.0697801068063
0.0510607.930204205749.4637017394758
0.0610633.041968399149.1057372432738
0.0710653.811608553855.9169853024398
0.0810673.720667939265.7313623738979
0.0910694.570156262476.5877943868299
0.110717.087912777687.3952056279774
0.1110741.404910986597.4278438049196
0.1210767.3367506555106.143263816672
0.1310794.5350969464113.169101556723
0.1410822.5722966704118.268648636548
0.1510850.9955104338121.331411677377
0.1610879.3667727839122.406855793631
0.1710907.2947636206121.671012534945
0.1810934.4590425207119.493462295408
0.1910960.6254912458116.261654117209
0.210985.6516037744112.455717289252
0.2111009.4814176863108.505031659475
0.2211032.1316116426104.757981371352
0.2311053.671867532101.39565825193
0.2411074.203442197398.5116821168105
0.2511093.839777177196.0604083261295
0.2611112.692015660493.9641697224997
0.2711130.860853373292.1396475532439
0.2811148.434651028790.5139717064602
0.2911165.492527256389.0790421094071
0.311182.110424433987.8529736210587
0.3111198.367930145886.949119661
0.3211214.353865771886.4773921037977
0.3311230.169186794786.5704038857313
0.3411245.926432353587.3641931515761
0.3511261.745684887188.8946059163187
0.3611277.747648815291.1746222973298
0.3711294.04494958494.0963120058414
0.3811310.733036760997.5434981952625
0.3911327.8821225396101.268756898616
0.411345.5314088208105.058317197389
0.4111363.6864945725108.663716464809
0.4211382.3203805027111.895642725625
0.4311401.3779847153114.576689145598
0.4411420.7836329796116.623135104692
0.4511440.4506539079117.995150308225
0.4611460.2920266803118.742128259613
0.4711480.2309988459118.959357884394
0.4811500.2106893693118.821599716692
0.4911520.2018769583118.517280231177
0.511540.2084020892118.280525821729
0.5111560.2698463051118.347005896104
0.5211580.461369838118.953969395394
0.5311600.8907764023120.304058026274
0.5411621.6930291655122.567590765084
0.5511643.0225661426125.804588871375
0.5611665.0438600968130.075092655405
0.5711687.9207422331135.308921296617
0.5811711.8050677979141.394412626114
0.5911736.8253555559148.117737362099
0.611763.0760935101155.232713036838
0.6111790.6084766101162.434064017681
0.6211819.4234210351169.410438554673
0.6311849.467754286175.812316563831
0.6411880.6344569043181.293227668091
0.6511912.7676609148185.581672745558
0.6611945.6727291586188.438883440311
0.6711979.1311234427189.746481063625
0.6812012.9189632003189.48916142584
0.6912046.8273165266187.813913961072
0.712080.6815749092184.979393822938
0.7112114.3570122289181.339422087543
0.7212147.7880633465177.352797980207
0.7312180.9701055023173.409276967682
0.7412213.9545072096169.869976587845
0.7512246.8400825718166.956670685653
0.7612279.7662586584164.748766126079
0.7712312.9144692211163.279917361978
0.7812346.5237694744162.551515521263
0.7912380.9238822174162.772372083114
0.812416.5837410346164.434886767875
0.8112454.1666370007168.415667982638
0.8212494.5755973013175.94093738132
0.8312538.9666664083188.333900512247
0.8412588.7059306526206.548270165879
0.8512645.2511858148230.7223006869
0.8612709.9532565258259.762614817806
0.8712783.795611858291.230579086948
0.8812867.1218091635321.533694218395
0.8912959.4334245089346.316694619208
0.913059.371507841361.382877825271
0.9113165.0233506396363.747161388442
0.9213274.7337924641352.906889130195
0.9313388.6424929729332.13390245661
0.9413511.1029490349310.21845457341
0.9513653.5662104641305.127996892068
0.9613835.7053349586348.148627127494
0.9714079.3279814375472.600861989927
0.9814388.1019782943683.209408241754
0.9914715.7484343419933.561457338129


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 1 ;
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')