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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, 12 Oct 2011 11:44:13 -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/12/t1318434368apok5kgjbvuh1b4.htm/, Retrieved Thu, 09 May 2024 22:33:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128402, Retrieved Thu, 09 May 2024 22:33:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact87

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] [H-D Percentielen ...] [2011-10-12 15:44:13] [b7d89a59d057204a66389ee14552eeec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10407
10463
10556
10646
10702
11353
11346
11451
11964
12574
13031
13812
14544
14931
14886
16005
17064
15168
16050
15839
15137
14954
15648
15305
15579
16348
15928
16171
15937
15713
15594
15683
16438
17032
17696
17745
19394
20148
20108
18584
18441
18391
19178
18079
18483
19644
19195
19650
20830
23595
22937
21814
21928
21777
21383
21467
22052
22680
24320
24977
25204
25739
26434
27525
30695
32436
30160
30236
31293
31077
32226
33865

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=128402&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=128402&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128402&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
0.0110432.880148323770.8179114138248
0.0210482.5918865243110.300073249928
0.0310553.7573297361171.867556504402
0.0410647.0317768128252.265260563965
0.0510764.6691080884344.632960248111
0.0610908.1614664746441.453604119475
0.0711077.6549340127540.456908520717
0.0811272.6889612463645.012916234708
0.0911492.9546500295758.683008439216
0.111738.2346133606879.43038020727
0.1112007.5433949116998.393768847005
0.1212298.06770817171102.69000227752
0.1312604.55650269171179.5476968082
0.1412919.48438922031219.67835710045
0.1513233.91459404761219.0549812855
0.1613538.7357280631179.32861942188
0.1713825.89204588711106.95779619584
0.1814089.31281470661011.56527175486
0.1914325.3898686977904.071107426657
0.214532.9913857542794.863506403922
0.2114713.1024146841692.330938092437
0.2214868.2382905154602.18346835864
0.2315001.7877947561527.099356637489
0.2415117.4181608601467.152484480801
0.2515218.6278026103420.606390058907
0.2615308.4804432308384.862180108725
0.2715389.5094660268357.361728665123
0.2815463.7520287339336.214537366172
0.2915532.8609035749320.38365359338
0.315598.2451365601309.685762215626
0.3115661.2026597453304.537705550465
0.3215723.0228098872305.689004126288
0.3315785.0496860408314.048104679599
0.3415848.7061105025330.363841012345
0.3515915.4824997906355.156634623197
0.3615986.896472003388.465553351629
0.3716064.4292479899429.91806148699
0.3816149.4452606074478.524833904206
0.3916243.1025233369532.823914061244
0.416346.2630636195590.789439742903
0.4116459.4143557915650.028194907986
0.4216582.6132630065707.885229229128
0.4316715.462785579761.718340838222
0.4416857.1286554278809.099088354141
0.4517006.3978264403848.087720233131
0.4617161.7750041579877.382304071754
0.4717321.6076499101896.428425190051
0.4817484.2255267114905.594503949344
0.4917648.0787232712906.028106300157
0.517811.8586328566899.533091376927
0.5117974.5894354164888.277104166677
0.5218135.6825375337874.703729414249
0.5318294.9520648369861.182999414679
0.5418452.5946355713849.797415383423
0.5518609.1402148993842.284682105684
0.5618765.3822822252839.828521745897
0.5718922.2949322737843.138552946771
0.5819080.9426354851852.433527239241
0.5919242.3864109155867.404995490272
0.619407.5893638041887.246531137701
0.6119577.3257223848910.711652079391
0.6219752.1006520441936.002259785353
0.6319932.0922131913961.034736269099
0.6420117.130033115983.53102879774
0.6520306.72546197991001.46889157806
0.6620500.1635094751013.42815878603
0.6720696.65723101791018.92346008388
0.6820895.55163976431018.86563667903
0.6921096.5495361941015.4914894948
0.721299.91989919221012.45708714553
0.7121506.64487095011014.20566195321
0.7221718.46706276191025.35701708701
0.7321937.81594288851049.61072331136
0.7422167.61860199451089.03826233326
0.7522411.03131920771143.38386652241
0.7622671.15648636721210.28007483757
0.7722950.82529761791286.08696739641
0.7823252.52081258251366.93097883134
0.7923578.48161797041450.05235107309
0.823930.96238283611534.73958403696
0.8124312.54344098921622.77577019261
0.8224726.3003706191717.66792455635
0.8325175.60351093361822.52996466073
0.8425663.35978436261936.70305708012
0.8526190.66631342482052.47990307916
0.8626755.10967685722153.52271835398
0.8727349.2462577582216.75442079281
0.8827960.00357865722217.78835662643
0.8928569.68908989652138.96540603544
0.929158.87426903571977.26197038385
0.9129710.6803608771748.85381117046
0.9230215.19173109551487.66249878767
0.9330672.36238887051236.90407948769
0.9431092.47369589921034.41170467519
0.9531495.1270527421895.771562361213
0.9631909.1567671579812.473746847342
0.9732371.2963881759790.922396349579
0.9832906.3674213642896.659925035144
0.9933465.38814910371156.13611706261

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10432.8801483237 & 70.8179114138248 \tabularnewline
0.02 & 10482.5918865243 & 110.300073249928 \tabularnewline
0.03 & 10553.7573297361 & 171.867556504402 \tabularnewline
0.04 & 10647.0317768128 & 252.265260563965 \tabularnewline
0.05 & 10764.6691080884 & 344.632960248111 \tabularnewline
0.06 & 10908.1614664746 & 441.453604119475 \tabularnewline
0.07 & 11077.6549340127 & 540.456908520717 \tabularnewline
0.08 & 11272.6889612463 & 645.012916234708 \tabularnewline
0.09 & 11492.9546500295 & 758.683008439216 \tabularnewline
0.1 & 11738.2346133606 & 879.43038020727 \tabularnewline
0.11 & 12007.5433949116 & 998.393768847005 \tabularnewline
0.12 & 12298.0677081717 & 1102.69000227752 \tabularnewline
0.13 & 12604.5565026917 & 1179.5476968082 \tabularnewline
0.14 & 12919.4843892203 & 1219.67835710045 \tabularnewline
0.15 & 13233.9145940476 & 1219.0549812855 \tabularnewline
0.16 & 13538.735728063 & 1179.32861942188 \tabularnewline
0.17 & 13825.8920458871 & 1106.95779619584 \tabularnewline
0.18 & 14089.3128147066 & 1011.56527175486 \tabularnewline
0.19 & 14325.3898686977 & 904.071107426657 \tabularnewline
0.2 & 14532.9913857542 & 794.863506403922 \tabularnewline
0.21 & 14713.1024146841 & 692.330938092437 \tabularnewline
0.22 & 14868.2382905154 & 602.18346835864 \tabularnewline
0.23 & 15001.7877947561 & 527.099356637489 \tabularnewline
0.24 & 15117.4181608601 & 467.152484480801 \tabularnewline
0.25 & 15218.6278026103 & 420.606390058907 \tabularnewline
0.26 & 15308.4804432308 & 384.862180108725 \tabularnewline
0.27 & 15389.5094660268 & 357.361728665123 \tabularnewline
0.28 & 15463.7520287339 & 336.214537366172 \tabularnewline
0.29 & 15532.8609035749 & 320.38365359338 \tabularnewline
0.3 & 15598.2451365601 & 309.685762215626 \tabularnewline
0.31 & 15661.2026597453 & 304.537705550465 \tabularnewline
0.32 & 15723.0228098872 & 305.689004126288 \tabularnewline
0.33 & 15785.0496860408 & 314.048104679599 \tabularnewline
0.34 & 15848.7061105025 & 330.363841012345 \tabularnewline
0.35 & 15915.4824997906 & 355.156634623197 \tabularnewline
0.36 & 15986.896472003 & 388.465553351629 \tabularnewline
0.37 & 16064.4292479899 & 429.91806148699 \tabularnewline
0.38 & 16149.4452606074 & 478.524833904206 \tabularnewline
0.39 & 16243.1025233369 & 532.823914061244 \tabularnewline
0.4 & 16346.2630636195 & 590.789439742903 \tabularnewline
0.41 & 16459.4143557915 & 650.028194907986 \tabularnewline
0.42 & 16582.6132630065 & 707.885229229128 \tabularnewline
0.43 & 16715.462785579 & 761.718340838222 \tabularnewline
0.44 & 16857.1286554278 & 809.099088354141 \tabularnewline
0.45 & 17006.3978264403 & 848.087720233131 \tabularnewline
0.46 & 17161.7750041579 & 877.382304071754 \tabularnewline
0.47 & 17321.6076499101 & 896.428425190051 \tabularnewline
0.48 & 17484.2255267114 & 905.594503949344 \tabularnewline
0.49 & 17648.0787232712 & 906.028106300157 \tabularnewline
0.5 & 17811.8586328566 & 899.533091376927 \tabularnewline
0.51 & 17974.5894354164 & 888.277104166677 \tabularnewline
0.52 & 18135.6825375337 & 874.703729414249 \tabularnewline
0.53 & 18294.9520648369 & 861.182999414679 \tabularnewline
0.54 & 18452.5946355713 & 849.797415383423 \tabularnewline
0.55 & 18609.1402148993 & 842.284682105684 \tabularnewline
0.56 & 18765.3822822252 & 839.828521745897 \tabularnewline
0.57 & 18922.2949322737 & 843.138552946771 \tabularnewline
0.58 & 19080.9426354851 & 852.433527239241 \tabularnewline
0.59 & 19242.3864109155 & 867.404995490272 \tabularnewline
0.6 & 19407.5893638041 & 887.246531137701 \tabularnewline
0.61 & 19577.3257223848 & 910.711652079391 \tabularnewline
0.62 & 19752.1006520441 & 936.002259785353 \tabularnewline
0.63 & 19932.0922131913 & 961.034736269099 \tabularnewline
0.64 & 20117.130033115 & 983.53102879774 \tabularnewline
0.65 & 20306.7254619799 & 1001.46889157806 \tabularnewline
0.66 & 20500.163509475 & 1013.42815878603 \tabularnewline
0.67 & 20696.6572310179 & 1018.92346008388 \tabularnewline
0.68 & 20895.5516397643 & 1018.86563667903 \tabularnewline
0.69 & 21096.549536194 & 1015.4914894948 \tabularnewline
0.7 & 21299.9198991922 & 1012.45708714553 \tabularnewline
0.71 & 21506.6448709501 & 1014.20566195321 \tabularnewline
0.72 & 21718.4670627619 & 1025.35701708701 \tabularnewline
0.73 & 21937.8159428885 & 1049.61072331136 \tabularnewline
0.74 & 22167.6186019945 & 1089.03826233326 \tabularnewline
0.75 & 22411.0313192077 & 1143.38386652241 \tabularnewline
0.76 & 22671.1564863672 & 1210.28007483757 \tabularnewline
0.77 & 22950.8252976179 & 1286.08696739641 \tabularnewline
0.78 & 23252.5208125825 & 1366.93097883134 \tabularnewline
0.79 & 23578.4816179704 & 1450.05235107309 \tabularnewline
0.8 & 23930.9623828361 & 1534.73958403696 \tabularnewline
0.81 & 24312.5434409892 & 1622.77577019261 \tabularnewline
0.82 & 24726.300370619 & 1717.66792455635 \tabularnewline
0.83 & 25175.6035109336 & 1822.52996466073 \tabularnewline
0.84 & 25663.3597843626 & 1936.70305708012 \tabularnewline
0.85 & 26190.6663134248 & 2052.47990307916 \tabularnewline
0.86 & 26755.1096768572 & 2153.52271835398 \tabularnewline
0.87 & 27349.246257758 & 2216.75442079281 \tabularnewline
0.88 & 27960.0035786572 & 2217.78835662643 \tabularnewline
0.89 & 28569.6890898965 & 2138.96540603544 \tabularnewline
0.9 & 29158.8742690357 & 1977.26197038385 \tabularnewline
0.91 & 29710.680360877 & 1748.85381117046 \tabularnewline
0.92 & 30215.1917310955 & 1487.66249878767 \tabularnewline
0.93 & 30672.3623888705 & 1236.90407948769 \tabularnewline
0.94 & 31092.4736958992 & 1034.41170467519 \tabularnewline
0.95 & 31495.1270527421 & 895.771562361213 \tabularnewline
0.96 & 31909.1567671579 & 812.473746847342 \tabularnewline
0.97 & 32371.2963881759 & 790.922396349579 \tabularnewline
0.98 & 32906.3674213642 & 896.659925035144 \tabularnewline
0.99 & 33465.3881491037 & 1156.13611706261 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128402&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]10432.8801483237[/C][C]70.8179114138248[/C][/ROW]
[ROW][C]0.02[/C][C]10482.5918865243[/C][C]110.300073249928[/C][/ROW]
[ROW][C]0.03[/C][C]10553.7573297361[/C][C]171.867556504402[/C][/ROW]
[ROW][C]0.04[/C][C]10647.0317768128[/C][C]252.265260563965[/C][/ROW]
[ROW][C]0.05[/C][C]10764.6691080884[/C][C]344.632960248111[/C][/ROW]
[ROW][C]0.06[/C][C]10908.1614664746[/C][C]441.453604119475[/C][/ROW]
[ROW][C]0.07[/C][C]11077.6549340127[/C][C]540.456908520717[/C][/ROW]
[ROW][C]0.08[/C][C]11272.6889612463[/C][C]645.012916234708[/C][/ROW]
[ROW][C]0.09[/C][C]11492.9546500295[/C][C]758.683008439216[/C][/ROW]
[ROW][C]0.1[/C][C]11738.2346133606[/C][C]879.43038020727[/C][/ROW]
[ROW][C]0.11[/C][C]12007.5433949116[/C][C]998.393768847005[/C][/ROW]
[ROW][C]0.12[/C][C]12298.0677081717[/C][C]1102.69000227752[/C][/ROW]
[ROW][C]0.13[/C][C]12604.5565026917[/C][C]1179.5476968082[/C][/ROW]
[ROW][C]0.14[/C][C]12919.4843892203[/C][C]1219.67835710045[/C][/ROW]
[ROW][C]0.15[/C][C]13233.9145940476[/C][C]1219.0549812855[/C][/ROW]
[ROW][C]0.16[/C][C]13538.735728063[/C][C]1179.32861942188[/C][/ROW]
[ROW][C]0.17[/C][C]13825.8920458871[/C][C]1106.95779619584[/C][/ROW]
[ROW][C]0.18[/C][C]14089.3128147066[/C][C]1011.56527175486[/C][/ROW]
[ROW][C]0.19[/C][C]14325.3898686977[/C][C]904.071107426657[/C][/ROW]
[ROW][C]0.2[/C][C]14532.9913857542[/C][C]794.863506403922[/C][/ROW]
[ROW][C]0.21[/C][C]14713.1024146841[/C][C]692.330938092437[/C][/ROW]
[ROW][C]0.22[/C][C]14868.2382905154[/C][C]602.18346835864[/C][/ROW]
[ROW][C]0.23[/C][C]15001.7877947561[/C][C]527.099356637489[/C][/ROW]
[ROW][C]0.24[/C][C]15117.4181608601[/C][C]467.152484480801[/C][/ROW]
[ROW][C]0.25[/C][C]15218.6278026103[/C][C]420.606390058907[/C][/ROW]
[ROW][C]0.26[/C][C]15308.4804432308[/C][C]384.862180108725[/C][/ROW]
[ROW][C]0.27[/C][C]15389.5094660268[/C][C]357.361728665123[/C][/ROW]
[ROW][C]0.28[/C][C]15463.7520287339[/C][C]336.214537366172[/C][/ROW]
[ROW][C]0.29[/C][C]15532.8609035749[/C][C]320.38365359338[/C][/ROW]
[ROW][C]0.3[/C][C]15598.2451365601[/C][C]309.685762215626[/C][/ROW]
[ROW][C]0.31[/C][C]15661.2026597453[/C][C]304.537705550465[/C][/ROW]
[ROW][C]0.32[/C][C]15723.0228098872[/C][C]305.689004126288[/C][/ROW]
[ROW][C]0.33[/C][C]15785.0496860408[/C][C]314.048104679599[/C][/ROW]
[ROW][C]0.34[/C][C]15848.7061105025[/C][C]330.363841012345[/C][/ROW]
[ROW][C]0.35[/C][C]15915.4824997906[/C][C]355.156634623197[/C][/ROW]
[ROW][C]0.36[/C][C]15986.896472003[/C][C]388.465553351629[/C][/ROW]
[ROW][C]0.37[/C][C]16064.4292479899[/C][C]429.91806148699[/C][/ROW]
[ROW][C]0.38[/C][C]16149.4452606074[/C][C]478.524833904206[/C][/ROW]
[ROW][C]0.39[/C][C]16243.1025233369[/C][C]532.823914061244[/C][/ROW]
[ROW][C]0.4[/C][C]16346.2630636195[/C][C]590.789439742903[/C][/ROW]
[ROW][C]0.41[/C][C]16459.4143557915[/C][C]650.028194907986[/C][/ROW]
[ROW][C]0.42[/C][C]16582.6132630065[/C][C]707.885229229128[/C][/ROW]
[ROW][C]0.43[/C][C]16715.462785579[/C][C]761.718340838222[/C][/ROW]
[ROW][C]0.44[/C][C]16857.1286554278[/C][C]809.099088354141[/C][/ROW]
[ROW][C]0.45[/C][C]17006.3978264403[/C][C]848.087720233131[/C][/ROW]
[ROW][C]0.46[/C][C]17161.7750041579[/C][C]877.382304071754[/C][/ROW]
[ROW][C]0.47[/C][C]17321.6076499101[/C][C]896.428425190051[/C][/ROW]
[ROW][C]0.48[/C][C]17484.2255267114[/C][C]905.594503949344[/C][/ROW]
[ROW][C]0.49[/C][C]17648.0787232712[/C][C]906.028106300157[/C][/ROW]
[ROW][C]0.5[/C][C]17811.8586328566[/C][C]899.533091376927[/C][/ROW]
[ROW][C]0.51[/C][C]17974.5894354164[/C][C]888.277104166677[/C][/ROW]
[ROW][C]0.52[/C][C]18135.6825375337[/C][C]874.703729414249[/C][/ROW]
[ROW][C]0.53[/C][C]18294.9520648369[/C][C]861.182999414679[/C][/ROW]
[ROW][C]0.54[/C][C]18452.5946355713[/C][C]849.797415383423[/C][/ROW]
[ROW][C]0.55[/C][C]18609.1402148993[/C][C]842.284682105684[/C][/ROW]
[ROW][C]0.56[/C][C]18765.3822822252[/C][C]839.828521745897[/C][/ROW]
[ROW][C]0.57[/C][C]18922.2949322737[/C][C]843.138552946771[/C][/ROW]
[ROW][C]0.58[/C][C]19080.9426354851[/C][C]852.433527239241[/C][/ROW]
[ROW][C]0.59[/C][C]19242.3864109155[/C][C]867.404995490272[/C][/ROW]
[ROW][C]0.6[/C][C]19407.5893638041[/C][C]887.246531137701[/C][/ROW]
[ROW][C]0.61[/C][C]19577.3257223848[/C][C]910.711652079391[/C][/ROW]
[ROW][C]0.62[/C][C]19752.1006520441[/C][C]936.002259785353[/C][/ROW]
[ROW][C]0.63[/C][C]19932.0922131913[/C][C]961.034736269099[/C][/ROW]
[ROW][C]0.64[/C][C]20117.130033115[/C][C]983.53102879774[/C][/ROW]
[ROW][C]0.65[/C][C]20306.7254619799[/C][C]1001.46889157806[/C][/ROW]
[ROW][C]0.66[/C][C]20500.163509475[/C][C]1013.42815878603[/C][/ROW]
[ROW][C]0.67[/C][C]20696.6572310179[/C][C]1018.92346008388[/C][/ROW]
[ROW][C]0.68[/C][C]20895.5516397643[/C][C]1018.86563667903[/C][/ROW]
[ROW][C]0.69[/C][C]21096.549536194[/C][C]1015.4914894948[/C][/ROW]
[ROW][C]0.7[/C][C]21299.9198991922[/C][C]1012.45708714553[/C][/ROW]
[ROW][C]0.71[/C][C]21506.6448709501[/C][C]1014.20566195321[/C][/ROW]
[ROW][C]0.72[/C][C]21718.4670627619[/C][C]1025.35701708701[/C][/ROW]
[ROW][C]0.73[/C][C]21937.8159428885[/C][C]1049.61072331136[/C][/ROW]
[ROW][C]0.74[/C][C]22167.6186019945[/C][C]1089.03826233326[/C][/ROW]
[ROW][C]0.75[/C][C]22411.0313192077[/C][C]1143.38386652241[/C][/ROW]
[ROW][C]0.76[/C][C]22671.1564863672[/C][C]1210.28007483757[/C][/ROW]
[ROW][C]0.77[/C][C]22950.8252976179[/C][C]1286.08696739641[/C][/ROW]
[ROW][C]0.78[/C][C]23252.5208125825[/C][C]1366.93097883134[/C][/ROW]
[ROW][C]0.79[/C][C]23578.4816179704[/C][C]1450.05235107309[/C][/ROW]
[ROW][C]0.8[/C][C]23930.9623828361[/C][C]1534.73958403696[/C][/ROW]
[ROW][C]0.81[/C][C]24312.5434409892[/C][C]1622.77577019261[/C][/ROW]
[ROW][C]0.82[/C][C]24726.300370619[/C][C]1717.66792455635[/C][/ROW]
[ROW][C]0.83[/C][C]25175.6035109336[/C][C]1822.52996466073[/C][/ROW]
[ROW][C]0.84[/C][C]25663.3597843626[/C][C]1936.70305708012[/C][/ROW]
[ROW][C]0.85[/C][C]26190.6663134248[/C][C]2052.47990307916[/C][/ROW]
[ROW][C]0.86[/C][C]26755.1096768572[/C][C]2153.52271835398[/C][/ROW]
[ROW][C]0.87[/C][C]27349.246257758[/C][C]2216.75442079281[/C][/ROW]
[ROW][C]0.88[/C][C]27960.0035786572[/C][C]2217.78835662643[/C][/ROW]
[ROW][C]0.89[/C][C]28569.6890898965[/C][C]2138.96540603544[/C][/ROW]
[ROW][C]0.9[/C][C]29158.8742690357[/C][C]1977.26197038385[/C][/ROW]
[ROW][C]0.91[/C][C]29710.680360877[/C][C]1748.85381117046[/C][/ROW]
[ROW][C]0.92[/C][C]30215.1917310955[/C][C]1487.66249878767[/C][/ROW]
[ROW][C]0.93[/C][C]30672.3623888705[/C][C]1236.90407948769[/C][/ROW]
[ROW][C]0.94[/C][C]31092.4736958992[/C][C]1034.41170467519[/C][/ROW]
[ROW][C]0.95[/C][C]31495.1270527421[/C][C]895.771562361213[/C][/ROW]
[ROW][C]0.96[/C][C]31909.1567671579[/C][C]812.473746847342[/C][/ROW]
[ROW][C]0.97[/C][C]32371.2963881759[/C][C]790.922396349579[/C][/ROW]
[ROW][C]0.98[/C][C]32906.3674213642[/C][C]896.659925035144[/C][/ROW]
[ROW][C]0.99[/C][C]33465.3881491037[/C][C]1156.13611706261[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128402&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128402&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
0.0110432.880148323770.8179114138248
0.0210482.5918865243110.300073249928
0.0310553.7573297361171.867556504402
0.0410647.0317768128252.265260563965
0.0510764.6691080884344.632960248111
0.0610908.1614664746441.453604119475
0.0711077.6549340127540.456908520717
0.0811272.6889612463645.012916234708
0.0911492.9546500295758.683008439216
0.111738.2346133606879.43038020727
0.1112007.5433949116998.393768847005
0.1212298.06770817171102.69000227752
0.1312604.55650269171179.5476968082
0.1412919.48438922031219.67835710045
0.1513233.91459404761219.0549812855
0.1613538.7357280631179.32861942188
0.1713825.89204588711106.95779619584
0.1814089.31281470661011.56527175486
0.1914325.3898686977904.071107426657
0.214532.9913857542794.863506403922
0.2114713.1024146841692.330938092437
0.2214868.2382905154602.18346835864
0.2315001.7877947561527.099356637489
0.2415117.4181608601467.152484480801
0.2515218.6278026103420.606390058907
0.2615308.4804432308384.862180108725
0.2715389.5094660268357.361728665123
0.2815463.7520287339336.214537366172
0.2915532.8609035749320.38365359338
0.315598.2451365601309.685762215626
0.3115661.2026597453304.537705550465
0.3215723.0228098872305.689004126288
0.3315785.0496860408314.048104679599
0.3415848.7061105025330.363841012345
0.3515915.4824997906355.156634623197
0.3615986.896472003388.465553351629
0.3716064.4292479899429.91806148699
0.3816149.4452606074478.524833904206
0.3916243.1025233369532.823914061244
0.416346.2630636195590.789439742903
0.4116459.4143557915650.028194907986
0.4216582.6132630065707.885229229128
0.4316715.462785579761.718340838222
0.4416857.1286554278809.099088354141
0.4517006.3978264403848.087720233131
0.4617161.7750041579877.382304071754
0.4717321.6076499101896.428425190051
0.4817484.2255267114905.594503949344
0.4917648.0787232712906.028106300157
0.517811.8586328566899.533091376927
0.5117974.5894354164888.277104166677
0.5218135.6825375337874.703729414249
0.5318294.9520648369861.182999414679
0.5418452.5946355713849.797415383423
0.5518609.1402148993842.284682105684
0.5618765.3822822252839.828521745897
0.5718922.2949322737843.138552946771
0.5819080.9426354851852.433527239241
0.5919242.3864109155867.404995490272
0.619407.5893638041887.246531137701
0.6119577.3257223848910.711652079391
0.6219752.1006520441936.002259785353
0.6319932.0922131913961.034736269099
0.6420117.130033115983.53102879774
0.6520306.72546197991001.46889157806
0.6620500.1635094751013.42815878603
0.6720696.65723101791018.92346008388
0.6820895.55163976431018.86563667903
0.6921096.5495361941015.4914894948
0.721299.91989919221012.45708714553
0.7121506.64487095011014.20566195321
0.7221718.46706276191025.35701708701
0.7321937.81594288851049.61072331136
0.7422167.61860199451089.03826233326
0.7522411.03131920771143.38386652241
0.7622671.15648636721210.28007483757
0.7722950.82529761791286.08696739641
0.7823252.52081258251366.93097883134
0.7923578.48161797041450.05235107309
0.823930.96238283611534.73958403696
0.8124312.54344098921622.77577019261
0.8224726.3003706191717.66792455635
0.8325175.60351093361822.52996466073
0.8425663.35978436261936.70305708012
0.8526190.66631342482052.47990307916
0.8626755.10967685722153.52271835398
0.8727349.2462577582216.75442079281
0.8827960.00357865722217.78835662643
0.8928569.68908989652138.96540603544
0.929158.87426903571977.26197038385
0.9129710.6803608771748.85381117046
0.9230215.19173109551487.66249878767
0.9330672.36238887051236.90407948769
0.9431092.47369589921034.41170467519
0.9531495.1270527421895.771562361213
0.9631909.1567671579812.473746847342
0.9732371.2963881759790.922396349579
0.9832906.3674213642896.659925035144
0.9933465.38814910371156.13611706261


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')