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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 computationTue, 11 Oct 2011 14:17:21 -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/11/t1318357204tn31tldof0vvqxo.htm/, Retrieved Sat, 11 May 2024 12:17:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128186, Retrieved Sat, 11 May 2024 12:17:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact98

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] [] [2011-10-11 18:17:21] [c7947c1eb3210bb9ed87c20003884d6d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
47460
50104
61465
53726
39477
43895
31481
29896
33842
39120
33702
25094
51442
45594
52518
48564
41745
49585
32747
33379
35645
37034
35681
20972
58552
54955
65540
51570
51145
46641
35704
33253
35193
41668
34865
21210
56126
49231
59723
48103
47472
50497
40059
34149
36860
46356
36577
23872
57276
56389
57657
62300
48929
51168
39636
33213
38127
43291
30600
21956
48033
46148
50736
48114
38390
44112
36287
30333
35908
40005
35263
26591
49709
47840
64781
57802
48154
54353
39737
37732
37163
43782
40649
29412

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'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128186&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128186&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128186&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0121209.0822972714593.551764118873
0.0221758.32589386251243.92423848105
0.0322598.11236482581879.24225220075
0.0423647.64368675152353.80516942327
0.0524806.6105949522637.66479878543
0.0625983.60284380062737.8529872593
0.0727108.82232899792676.06709285045
0.0828137.1566114012497.60228280061
0.0929047.49384974442266.41751310558
0.129838.98428363542041.12770794251
0.1130524.09785796561853.09186981732
0.1231120.52123892051702.99664238331
0.1331644.89252094831575.48699400383
0.1432110.01155159631456.84355684061
0.1532525.07749500891343.41162679959
0.1632897.31307553551240.03358989694
0.1733233.42089128661154.44131466655
0.1833540.12760027251091.11357976361
0.1933823.88901061251048.94527500227
0.234090.25193363141021.75751461319
0.2134343.37067793231002.29765745522
0.2234585.9390646511984.61290829677
0.2334819.5292624308966.0580026566
0.2435045.1553661815947.335389991712
0.2535263.8360707811931.572363665996
0.2635476.9855820338922.854210712459
0.2735686.5595270831924.731052314171
0.2835894.9740819833939.450893443595
0.2936104.8738425604967.322817199099
0.336318.84123807891006.91417541255
0.3136539.12706558231055.6707651769
0.3236767.45383128191110.38826355579
0.3337004.91527280111167.78887726151
0.3437251.97483390371224.91759534981
0.3537508.55421583871279.24674707025
0.3637774.19696659071329.42897389848
0.3738048.28672289511375.11274176362
0.3838330.29245876811417.5152074332
0.3938620.00463814141459.1762653115
0.438917.72019017691503.59277696187
0.4139224.3353200631554.69544732138
0.4239541.31634773891615.79745578761
0.4339870.53962041431688.94766081777
0.4440214.01785121641773.88081281147
0.4540573.55518560921868.17116484275
0.4640950.38981409051967.08794981023
0.4741344.88620007142064.62230787833
0.4841756.32810115042154.30922813297
0.4942182.84190096722229.56346364448
0.542621.45372943362285.1039615278
0.5143068.26061013352316.87012349518
0.5243518.68102048962322.38784141549
0.5343967.74612501962300.79110746961
0.5444410.39826627692252.68947498583
0.5544841.77408540612179.83335578861
0.5645257.46093077972085.07951785361
0.5745653.72288421841972.46509539486
0.5846027.69479093891846.67066778211
0.5946377.53960102051713.1352418704
0.646702.55857428551577.74713958841
0.6147003.23886131551446.79724675545
0.6247281.22180987191326.17370682429
0.6347539.18001157391221.37724189323
0.6447780.60176976511136.33382342552
0.6548009.49662359771073.47675321419
0.6648230.05159683171033.1611117595
0.6748446.28107314891013.21704775729
0.6848661.720169761009.9117736485
0.6948879.21015245211018.23030872373
0.749100.81471166141033.41878714059
0.7149327.88935661611051.2988537066
0.7249561.30499738611069.37789031472
0.7349801.80273593181087.23656575521
0.7450050.43094591621106.77646110507
0.7550308.98911100781131.93819336625
0.7650580.37926300251168.50787535152
0.7750868.75314014581222.68487489433
0.7851179.35298125091299.2823757005
0.7951517.98698854421399.64362952079
0.851890.1593745851519.76804452867
0.8152299.9768097271650.42120268048
0.8252749.04948162311777.9488116867
0.8353235.66093721171886.60905072007
0.8453754.47226403531961.5769160118
0.8554296.95500926131991.83697957178
0.8654852.64175473231972.56801549965
0.8755411.17456797081907.06566496084
0.8855965.01585964931807.63109460761
0.8956512.50463880351695.96423257342
0.957060.62376412251602.30108004437
0.9157626.44449749131560.52574223391
0.9258236.07268202651595.3262086465
0.9358920.59357723571704.42050757016
0.9459710.07083010451852.98240074536
0.9560627.40704527341992.06441057215
0.9661680.48521595512082.74353513311
0.9762843.65696778342074.21939113717
0.9864020.18436540081832.07701886346
0.9965006.03046031711257.63258811384

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 21209.0822972714 & 593.551764118873 \tabularnewline
0.02 & 21758.3258938625 & 1243.92423848105 \tabularnewline
0.03 & 22598.1123648258 & 1879.24225220075 \tabularnewline
0.04 & 23647.6436867515 & 2353.80516942327 \tabularnewline
0.05 & 24806.610594952 & 2637.66479878543 \tabularnewline
0.06 & 25983.6028438006 & 2737.8529872593 \tabularnewline
0.07 & 27108.8223289979 & 2676.06709285045 \tabularnewline
0.08 & 28137.156611401 & 2497.60228280061 \tabularnewline
0.09 & 29047.4938497444 & 2266.41751310558 \tabularnewline
0.1 & 29838.9842836354 & 2041.12770794251 \tabularnewline
0.11 & 30524.0978579656 & 1853.09186981732 \tabularnewline
0.12 & 31120.5212389205 & 1702.99664238331 \tabularnewline
0.13 & 31644.8925209483 & 1575.48699400383 \tabularnewline
0.14 & 32110.0115515963 & 1456.84355684061 \tabularnewline
0.15 & 32525.0774950089 & 1343.41162679959 \tabularnewline
0.16 & 32897.3130755355 & 1240.03358989694 \tabularnewline
0.17 & 33233.4208912866 & 1154.44131466655 \tabularnewline
0.18 & 33540.1276002725 & 1091.11357976361 \tabularnewline
0.19 & 33823.8890106125 & 1048.94527500227 \tabularnewline
0.2 & 34090.2519336314 & 1021.75751461319 \tabularnewline
0.21 & 34343.3706779323 & 1002.29765745522 \tabularnewline
0.22 & 34585.9390646511 & 984.61290829677 \tabularnewline
0.23 & 34819.5292624308 & 966.0580026566 \tabularnewline
0.24 & 35045.1553661815 & 947.335389991712 \tabularnewline
0.25 & 35263.8360707811 & 931.572363665996 \tabularnewline
0.26 & 35476.9855820338 & 922.854210712459 \tabularnewline
0.27 & 35686.5595270831 & 924.731052314171 \tabularnewline
0.28 & 35894.9740819833 & 939.450893443595 \tabularnewline
0.29 & 36104.8738425604 & 967.322817199099 \tabularnewline
0.3 & 36318.8412380789 & 1006.91417541255 \tabularnewline
0.31 & 36539.1270655823 & 1055.6707651769 \tabularnewline
0.32 & 36767.4538312819 & 1110.38826355579 \tabularnewline
0.33 & 37004.9152728011 & 1167.78887726151 \tabularnewline
0.34 & 37251.9748339037 & 1224.91759534981 \tabularnewline
0.35 & 37508.5542158387 & 1279.24674707025 \tabularnewline
0.36 & 37774.1969665907 & 1329.42897389848 \tabularnewline
0.37 & 38048.2867228951 & 1375.11274176362 \tabularnewline
0.38 & 38330.2924587681 & 1417.5152074332 \tabularnewline
0.39 & 38620.0046381414 & 1459.1762653115 \tabularnewline
0.4 & 38917.7201901769 & 1503.59277696187 \tabularnewline
0.41 & 39224.335320063 & 1554.69544732138 \tabularnewline
0.42 & 39541.3163477389 & 1615.79745578761 \tabularnewline
0.43 & 39870.5396204143 & 1688.94766081777 \tabularnewline
0.44 & 40214.0178512164 & 1773.88081281147 \tabularnewline
0.45 & 40573.5551856092 & 1868.17116484275 \tabularnewline
0.46 & 40950.3898140905 & 1967.08794981023 \tabularnewline
0.47 & 41344.8862000714 & 2064.62230787833 \tabularnewline
0.48 & 41756.3281011504 & 2154.30922813297 \tabularnewline
0.49 & 42182.8419009672 & 2229.56346364448 \tabularnewline
0.5 & 42621.4537294336 & 2285.1039615278 \tabularnewline
0.51 & 43068.2606101335 & 2316.87012349518 \tabularnewline
0.52 & 43518.6810204896 & 2322.38784141549 \tabularnewline
0.53 & 43967.7461250196 & 2300.79110746961 \tabularnewline
0.54 & 44410.3982662769 & 2252.68947498583 \tabularnewline
0.55 & 44841.7740854061 & 2179.83335578861 \tabularnewline
0.56 & 45257.4609307797 & 2085.07951785361 \tabularnewline
0.57 & 45653.7228842184 & 1972.46509539486 \tabularnewline
0.58 & 46027.6947909389 & 1846.67066778211 \tabularnewline
0.59 & 46377.5396010205 & 1713.1352418704 \tabularnewline
0.6 & 46702.5585742855 & 1577.74713958841 \tabularnewline
0.61 & 47003.2388613155 & 1446.79724675545 \tabularnewline
0.62 & 47281.2218098719 & 1326.17370682429 \tabularnewline
0.63 & 47539.1800115739 & 1221.37724189323 \tabularnewline
0.64 & 47780.6017697651 & 1136.33382342552 \tabularnewline
0.65 & 48009.4966235977 & 1073.47675321419 \tabularnewline
0.66 & 48230.0515968317 & 1033.1611117595 \tabularnewline
0.67 & 48446.2810731489 & 1013.21704775729 \tabularnewline
0.68 & 48661.72016976 & 1009.9117736485 \tabularnewline
0.69 & 48879.2101524521 & 1018.23030872373 \tabularnewline
0.7 & 49100.8147116614 & 1033.41878714059 \tabularnewline
0.71 & 49327.8893566161 & 1051.2988537066 \tabularnewline
0.72 & 49561.3049973861 & 1069.37789031472 \tabularnewline
0.73 & 49801.8027359318 & 1087.23656575521 \tabularnewline
0.74 & 50050.4309459162 & 1106.77646110507 \tabularnewline
0.75 & 50308.9891110078 & 1131.93819336625 \tabularnewline
0.76 & 50580.3792630025 & 1168.50787535152 \tabularnewline
0.77 & 50868.7531401458 & 1222.68487489433 \tabularnewline
0.78 & 51179.3529812509 & 1299.2823757005 \tabularnewline
0.79 & 51517.9869885442 & 1399.64362952079 \tabularnewline
0.8 & 51890.159374585 & 1519.76804452867 \tabularnewline
0.81 & 52299.976809727 & 1650.42120268048 \tabularnewline
0.82 & 52749.0494816231 & 1777.9488116867 \tabularnewline
0.83 & 53235.6609372117 & 1886.60905072007 \tabularnewline
0.84 & 53754.4722640353 & 1961.5769160118 \tabularnewline
0.85 & 54296.9550092613 & 1991.83697957178 \tabularnewline
0.86 & 54852.6417547323 & 1972.56801549965 \tabularnewline
0.87 & 55411.1745679708 & 1907.06566496084 \tabularnewline
0.88 & 55965.0158596493 & 1807.63109460761 \tabularnewline
0.89 & 56512.5046388035 & 1695.96423257342 \tabularnewline
0.9 & 57060.6237641225 & 1602.30108004437 \tabularnewline
0.91 & 57626.4444974913 & 1560.52574223391 \tabularnewline
0.92 & 58236.0726820265 & 1595.3262086465 \tabularnewline
0.93 & 58920.5935772357 & 1704.42050757016 \tabularnewline
0.94 & 59710.0708301045 & 1852.98240074536 \tabularnewline
0.95 & 60627.4070452734 & 1992.06441057215 \tabularnewline
0.96 & 61680.4852159551 & 2082.74353513311 \tabularnewline
0.97 & 62843.6569677834 & 2074.21939113717 \tabularnewline
0.98 & 64020.1843654008 & 1832.07701886346 \tabularnewline
0.99 & 65006.0304603171 & 1257.63258811384 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128186&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]21209.0822972714[/C][C]593.551764118873[/C][/ROW]
[ROW][C]0.02[/C][C]21758.3258938625[/C][C]1243.92423848105[/C][/ROW]
[ROW][C]0.03[/C][C]22598.1123648258[/C][C]1879.24225220075[/C][/ROW]
[ROW][C]0.04[/C][C]23647.6436867515[/C][C]2353.80516942327[/C][/ROW]
[ROW][C]0.05[/C][C]24806.610594952[/C][C]2637.66479878543[/C][/ROW]
[ROW][C]0.06[/C][C]25983.6028438006[/C][C]2737.8529872593[/C][/ROW]
[ROW][C]0.07[/C][C]27108.8223289979[/C][C]2676.06709285045[/C][/ROW]
[ROW][C]0.08[/C][C]28137.156611401[/C][C]2497.60228280061[/C][/ROW]
[ROW][C]0.09[/C][C]29047.4938497444[/C][C]2266.41751310558[/C][/ROW]
[ROW][C]0.1[/C][C]29838.9842836354[/C][C]2041.12770794251[/C][/ROW]
[ROW][C]0.11[/C][C]30524.0978579656[/C][C]1853.09186981732[/C][/ROW]
[ROW][C]0.12[/C][C]31120.5212389205[/C][C]1702.99664238331[/C][/ROW]
[ROW][C]0.13[/C][C]31644.8925209483[/C][C]1575.48699400383[/C][/ROW]
[ROW][C]0.14[/C][C]32110.0115515963[/C][C]1456.84355684061[/C][/ROW]
[ROW][C]0.15[/C][C]32525.0774950089[/C][C]1343.41162679959[/C][/ROW]
[ROW][C]0.16[/C][C]32897.3130755355[/C][C]1240.03358989694[/C][/ROW]
[ROW][C]0.17[/C][C]33233.4208912866[/C][C]1154.44131466655[/C][/ROW]
[ROW][C]0.18[/C][C]33540.1276002725[/C][C]1091.11357976361[/C][/ROW]
[ROW][C]0.19[/C][C]33823.8890106125[/C][C]1048.94527500227[/C][/ROW]
[ROW][C]0.2[/C][C]34090.2519336314[/C][C]1021.75751461319[/C][/ROW]
[ROW][C]0.21[/C][C]34343.3706779323[/C][C]1002.29765745522[/C][/ROW]
[ROW][C]0.22[/C][C]34585.9390646511[/C][C]984.61290829677[/C][/ROW]
[ROW][C]0.23[/C][C]34819.5292624308[/C][C]966.0580026566[/C][/ROW]
[ROW][C]0.24[/C][C]35045.1553661815[/C][C]947.335389991712[/C][/ROW]
[ROW][C]0.25[/C][C]35263.8360707811[/C][C]931.572363665996[/C][/ROW]
[ROW][C]0.26[/C][C]35476.9855820338[/C][C]922.854210712459[/C][/ROW]
[ROW][C]0.27[/C][C]35686.5595270831[/C][C]924.731052314171[/C][/ROW]
[ROW][C]0.28[/C][C]35894.9740819833[/C][C]939.450893443595[/C][/ROW]
[ROW][C]0.29[/C][C]36104.8738425604[/C][C]967.322817199099[/C][/ROW]
[ROW][C]0.3[/C][C]36318.8412380789[/C][C]1006.91417541255[/C][/ROW]
[ROW][C]0.31[/C][C]36539.1270655823[/C][C]1055.6707651769[/C][/ROW]
[ROW][C]0.32[/C][C]36767.4538312819[/C][C]1110.38826355579[/C][/ROW]
[ROW][C]0.33[/C][C]37004.9152728011[/C][C]1167.78887726151[/C][/ROW]
[ROW][C]0.34[/C][C]37251.9748339037[/C][C]1224.91759534981[/C][/ROW]
[ROW][C]0.35[/C][C]37508.5542158387[/C][C]1279.24674707025[/C][/ROW]
[ROW][C]0.36[/C][C]37774.1969665907[/C][C]1329.42897389848[/C][/ROW]
[ROW][C]0.37[/C][C]38048.2867228951[/C][C]1375.11274176362[/C][/ROW]
[ROW][C]0.38[/C][C]38330.2924587681[/C][C]1417.5152074332[/C][/ROW]
[ROW][C]0.39[/C][C]38620.0046381414[/C][C]1459.1762653115[/C][/ROW]
[ROW][C]0.4[/C][C]38917.7201901769[/C][C]1503.59277696187[/C][/ROW]
[ROW][C]0.41[/C][C]39224.335320063[/C][C]1554.69544732138[/C][/ROW]
[ROW][C]0.42[/C][C]39541.3163477389[/C][C]1615.79745578761[/C][/ROW]
[ROW][C]0.43[/C][C]39870.5396204143[/C][C]1688.94766081777[/C][/ROW]
[ROW][C]0.44[/C][C]40214.0178512164[/C][C]1773.88081281147[/C][/ROW]
[ROW][C]0.45[/C][C]40573.5551856092[/C][C]1868.17116484275[/C][/ROW]
[ROW][C]0.46[/C][C]40950.3898140905[/C][C]1967.08794981023[/C][/ROW]
[ROW][C]0.47[/C][C]41344.8862000714[/C][C]2064.62230787833[/C][/ROW]
[ROW][C]0.48[/C][C]41756.3281011504[/C][C]2154.30922813297[/C][/ROW]
[ROW][C]0.49[/C][C]42182.8419009672[/C][C]2229.56346364448[/C][/ROW]
[ROW][C]0.5[/C][C]42621.4537294336[/C][C]2285.1039615278[/C][/ROW]
[ROW][C]0.51[/C][C]43068.2606101335[/C][C]2316.87012349518[/C][/ROW]
[ROW][C]0.52[/C][C]43518.6810204896[/C][C]2322.38784141549[/C][/ROW]
[ROW][C]0.53[/C][C]43967.7461250196[/C][C]2300.79110746961[/C][/ROW]
[ROW][C]0.54[/C][C]44410.3982662769[/C][C]2252.68947498583[/C][/ROW]
[ROW][C]0.55[/C][C]44841.7740854061[/C][C]2179.83335578861[/C][/ROW]
[ROW][C]0.56[/C][C]45257.4609307797[/C][C]2085.07951785361[/C][/ROW]
[ROW][C]0.57[/C][C]45653.7228842184[/C][C]1972.46509539486[/C][/ROW]
[ROW][C]0.58[/C][C]46027.6947909389[/C][C]1846.67066778211[/C][/ROW]
[ROW][C]0.59[/C][C]46377.5396010205[/C][C]1713.1352418704[/C][/ROW]
[ROW][C]0.6[/C][C]46702.5585742855[/C][C]1577.74713958841[/C][/ROW]
[ROW][C]0.61[/C][C]47003.2388613155[/C][C]1446.79724675545[/C][/ROW]
[ROW][C]0.62[/C][C]47281.2218098719[/C][C]1326.17370682429[/C][/ROW]
[ROW][C]0.63[/C][C]47539.1800115739[/C][C]1221.37724189323[/C][/ROW]
[ROW][C]0.64[/C][C]47780.6017697651[/C][C]1136.33382342552[/C][/ROW]
[ROW][C]0.65[/C][C]48009.4966235977[/C][C]1073.47675321419[/C][/ROW]
[ROW][C]0.66[/C][C]48230.0515968317[/C][C]1033.1611117595[/C][/ROW]
[ROW][C]0.67[/C][C]48446.2810731489[/C][C]1013.21704775729[/C][/ROW]
[ROW][C]0.68[/C][C]48661.72016976[/C][C]1009.9117736485[/C][/ROW]
[ROW][C]0.69[/C][C]48879.2101524521[/C][C]1018.23030872373[/C][/ROW]
[ROW][C]0.7[/C][C]49100.8147116614[/C][C]1033.41878714059[/C][/ROW]
[ROW][C]0.71[/C][C]49327.8893566161[/C][C]1051.2988537066[/C][/ROW]
[ROW][C]0.72[/C][C]49561.3049973861[/C][C]1069.37789031472[/C][/ROW]
[ROW][C]0.73[/C][C]49801.8027359318[/C][C]1087.23656575521[/C][/ROW]
[ROW][C]0.74[/C][C]50050.4309459162[/C][C]1106.77646110507[/C][/ROW]
[ROW][C]0.75[/C][C]50308.9891110078[/C][C]1131.93819336625[/C][/ROW]
[ROW][C]0.76[/C][C]50580.3792630025[/C][C]1168.50787535152[/C][/ROW]
[ROW][C]0.77[/C][C]50868.7531401458[/C][C]1222.68487489433[/C][/ROW]
[ROW][C]0.78[/C][C]51179.3529812509[/C][C]1299.2823757005[/C][/ROW]
[ROW][C]0.79[/C][C]51517.9869885442[/C][C]1399.64362952079[/C][/ROW]
[ROW][C]0.8[/C][C]51890.159374585[/C][C]1519.76804452867[/C][/ROW]
[ROW][C]0.81[/C][C]52299.976809727[/C][C]1650.42120268048[/C][/ROW]
[ROW][C]0.82[/C][C]52749.0494816231[/C][C]1777.9488116867[/C][/ROW]
[ROW][C]0.83[/C][C]53235.6609372117[/C][C]1886.60905072007[/C][/ROW]
[ROW][C]0.84[/C][C]53754.4722640353[/C][C]1961.5769160118[/C][/ROW]
[ROW][C]0.85[/C][C]54296.9550092613[/C][C]1991.83697957178[/C][/ROW]
[ROW][C]0.86[/C][C]54852.6417547323[/C][C]1972.56801549965[/C][/ROW]
[ROW][C]0.87[/C][C]55411.1745679708[/C][C]1907.06566496084[/C][/ROW]
[ROW][C]0.88[/C][C]55965.0158596493[/C][C]1807.63109460761[/C][/ROW]
[ROW][C]0.89[/C][C]56512.5046388035[/C][C]1695.96423257342[/C][/ROW]
[ROW][C]0.9[/C][C]57060.6237641225[/C][C]1602.30108004437[/C][/ROW]
[ROW][C]0.91[/C][C]57626.4444974913[/C][C]1560.52574223391[/C][/ROW]
[ROW][C]0.92[/C][C]58236.0726820265[/C][C]1595.3262086465[/C][/ROW]
[ROW][C]0.93[/C][C]58920.5935772357[/C][C]1704.42050757016[/C][/ROW]
[ROW][C]0.94[/C][C]59710.0708301045[/C][C]1852.98240074536[/C][/ROW]
[ROW][C]0.95[/C][C]60627.4070452734[/C][C]1992.06441057215[/C][/ROW]
[ROW][C]0.96[/C][C]61680.4852159551[/C][C]2082.74353513311[/C][/ROW]
[ROW][C]0.97[/C][C]62843.6569677834[/C][C]2074.21939113717[/C][/ROW]
[ROW][C]0.98[/C][C]64020.1843654008[/C][C]1832.07701886346[/C][/ROW]
[ROW][C]0.99[/C][C]65006.0304603171[/C][C]1257.63258811384[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128186&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128186&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
0.0121209.0822972714593.551764118873
0.0221758.32589386251243.92423848105
0.0322598.11236482581879.24225220075
0.0423647.64368675152353.80516942327
0.0524806.6105949522637.66479878543
0.0625983.60284380062737.8529872593
0.0727108.82232899792676.06709285045
0.0828137.1566114012497.60228280061
0.0929047.49384974442266.41751310558
0.129838.98428363542041.12770794251
0.1130524.09785796561853.09186981732
0.1231120.52123892051702.99664238331
0.1331644.89252094831575.48699400383
0.1432110.01155159631456.84355684061
0.1532525.07749500891343.41162679959
0.1632897.31307553551240.03358989694
0.1733233.42089128661154.44131466655
0.1833540.12760027251091.11357976361
0.1933823.88901061251048.94527500227
0.234090.25193363141021.75751461319
0.2134343.37067793231002.29765745522
0.2234585.9390646511984.61290829677
0.2334819.5292624308966.0580026566
0.2435045.1553661815947.335389991712
0.2535263.8360707811931.572363665996
0.2635476.9855820338922.854210712459
0.2735686.5595270831924.731052314171
0.2835894.9740819833939.450893443595
0.2936104.8738425604967.322817199099
0.336318.84123807891006.91417541255
0.3136539.12706558231055.6707651769
0.3236767.45383128191110.38826355579
0.3337004.91527280111167.78887726151
0.3437251.97483390371224.91759534981
0.3537508.55421583871279.24674707025
0.3637774.19696659071329.42897389848
0.3738048.28672289511375.11274176362
0.3838330.29245876811417.5152074332
0.3938620.00463814141459.1762653115
0.438917.72019017691503.59277696187
0.4139224.3353200631554.69544732138
0.4239541.31634773891615.79745578761
0.4339870.53962041431688.94766081777
0.4440214.01785121641773.88081281147
0.4540573.55518560921868.17116484275
0.4640950.38981409051967.08794981023
0.4741344.88620007142064.62230787833
0.4841756.32810115042154.30922813297
0.4942182.84190096722229.56346364448
0.542621.45372943362285.1039615278
0.5143068.26061013352316.87012349518
0.5243518.68102048962322.38784141549
0.5343967.74612501962300.79110746961
0.5444410.39826627692252.68947498583
0.5544841.77408540612179.83335578861
0.5645257.46093077972085.07951785361
0.5745653.72288421841972.46509539486
0.5846027.69479093891846.67066778211
0.5946377.53960102051713.1352418704
0.646702.55857428551577.74713958841
0.6147003.23886131551446.79724675545
0.6247281.22180987191326.17370682429
0.6347539.18001157391221.37724189323
0.6447780.60176976511136.33382342552
0.6548009.49662359771073.47675321419
0.6648230.05159683171033.1611117595
0.6748446.28107314891013.21704775729
0.6848661.720169761009.9117736485
0.6948879.21015245211018.23030872373
0.749100.81471166141033.41878714059
0.7149327.88935661611051.2988537066
0.7249561.30499738611069.37789031472
0.7349801.80273593181087.23656575521
0.7450050.43094591621106.77646110507
0.7550308.98911100781131.93819336625
0.7650580.37926300251168.50787535152
0.7750868.75314014581222.68487489433
0.7851179.35298125091299.2823757005
0.7951517.98698854421399.64362952079
0.851890.1593745851519.76804452867
0.8152299.9768097271650.42120268048
0.8252749.04948162311777.9488116867
0.8353235.66093721171886.60905072007
0.8453754.47226403531961.5769160118
0.8554296.95500926131991.83697957178
0.8654852.64175473231972.56801549965
0.8755411.17456797081907.06566496084
0.8855965.01585964931807.63109460761
0.8956512.50463880351695.96423257342
0.957060.62376412251602.30108004437
0.9157626.44449749131560.52574223391
0.9258236.07268202651595.3262086465
0.9358920.59357723571704.42050757016
0.9459710.07083010451852.98240074536
0.9560627.40704527341992.06441057215
0.9661680.48521595512082.74353513311
0.9762843.65696778342074.21939113717
0.9864020.18436540081832.07701886346
0.9965006.03046031711257.63258811384


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')