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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 04 Oct 2013 08:27:37 -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/2013/Oct/04/t1380889731nwe0o1lc3x31gv0.htm/, Retrieved Mon, 29 Apr 2024 01:25:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213136, Retrieved Mon, 29 Apr 2024 01:25:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82

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] [] [2013-10-04 12:27:37] [3050d341fa02a6066b7b273abfa2c28b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9969
9692
8943
8802
8250
8515
13973
13905
12467
9490
8483
7610
7839
7107
6584
6053
5725
6480
11663
11628
9203
7781
7020
6908
6912
6668
6189
6007
5148
6685
11044
11034
8986
8146
7818
8176
8935
8929
8835
8455
7924
8973
13575
13844
11738
10467
10145
10833
10179
10107
9533
9165
8382
9018
13911
13761
11316
9855
9034
8932
9278
8876
8298
7733
7226
7688
12226
12081
10439
9008
8377
8346
9167
8945
8428
7973
7446
7785
10561
12791
11583
10112
9597
9332

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213136&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]3 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=213136&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213136&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015354.52964259865468.044541790954
0.025629.93648358951350.08943387985
0.035864.13956879133279.68398628689
0.046041.94502093564261.120572515158
0.056184.97615318008268.418791886619
0.066310.93612274223276.194606339306
0.076426.96188721056275.167232022341
0.086534.64888425998268.491707084928
0.096634.65559245065263.141445423481
0.16728.49706270767263.95246942557
0.116818.43753474992271.877070180027
0.126906.74503361752285.10804352096
0.136995.05413063262300.583169329845
0.147084.06150699196314.872000164537
0.157173.51554298582324.815521501475
0.167262.40434710559328.0482301706
0.177349.26402887601323.490247485514
0.187432.5408323924311.585326867089
0.197510.93664768222294.201082552271
0.27583.66776331532274.13826711205
0.217650.5864925138254.520588035373
0.227712.15193056499238.090922296661
0.237769.27555800743226.594014444707
0.247823.09535476991220.517570123658
0.257874.7411840694219.056533380836
0.267925.14532743457220.645876571568
0.277974.93154776181223.425067324237
0.288024.39188711969225.795750945189
0.298073.53924121991226.723859042558
0.38122.20962554377225.814574294183
0.318170.18228211974223.316703610955
0.328217.28761372962219.949356186599
0.338263.48037415044216.699498606372
0.348308.86610235751214.544379505795
0.358353.68004313672214.167774953552
0.368398.22771737938215.772934254876
0.378442.80340853287219.008322668656
0.388487.60622699846223.032732731556
0.398532.67282039167226.632186599623
0.48577.84155337282228.581219145511
0.418622.75602774886227.80049999258
0.428666.90759149381223.5902236982
0.438709.70869612456215.744549317073
0.448750.58321553373204.589942547679
0.458789.05726786482190.903023699088
0.468824.83504859205175.88025849436
0.478857.8481991826160.842880024195
0.488888.27312621609147.249233674294
0.498916.5169473604136.365136355849
0.58943.17796932248129.253989523218
0.518968.98984610935126.536180686648
0.528994.7594950082128.451934447709
0.539021.30772529246134.763450691303
0.549049.41902504656144.966326426444
0.559079.80386648094158.420853784365
0.569113.07396379539174.476632125129
0.579149.72866930333192.451273120112
0.589190.14939082731211.759478032023
0.599234.59860977175231.783911174641
0.69283.22068072611251.958347192072
0.619336.04291267726271.721006296502
0.629392.9772069224290.507379692995
0.639453.82440644389307.753347766388
0.649518.28503716777322.969887700189
0.659585.9807501285335.743997786745
0.669656.48998358023345.887036125798
0.679729.39885161663353.477978219991
0.689804.3641793499358.918642640829
0.699881.18070777675362.997296123809
0.79959.84012377999366.83491125101
0.7110040.5673315932371.703157100744
0.7210123.8205886122378.826083085301
0.7310210.2472472812389.083941569382
0.7410300.5951753547402.722448473541
0.7510395.5897481564419.29467596256
0.7610495.7954778359437.60878447879
0.7710601.4880674329455.929528551359
0.7810712.5659538994472.257362954556
0.7910828.529847291484.657353307025
0.810948.5538809936491.681298021559
0.8111071.6615735128492.728984582275
0.8211197.0024916303488.451552504655
0.8311324.2015272557480.938348276117
0.8411453.725657641473.789606834676
0.8511587.1891182955471.693322727937
0.8611727.5011352108479.556085565465
0.8711878.7478238235501.132233815773
0.8812045.6861407764537.56292082082
0.8912232.7260898935585.959694195646
0.912442.3458319937638.149174270673
0.9112673.1157005131680.044499470036
0.9212917.9355761565693.298368966062
0.9313163.5385096054660.794358288973
0.9413392.3447727357575.216668076038
0.9513586.943513695446.264343095888
0.9613735.9666574612300.395521514582
0.9713838.7186265504170.886941876783
0.9813905.23579974384.547503612632
0.9913948.730339111455.4357491323325

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5354.52964259865 & 468.044541790954 \tabularnewline
0.02 & 5629.93648358951 & 350.08943387985 \tabularnewline
0.03 & 5864.13956879133 & 279.68398628689 \tabularnewline
0.04 & 6041.94502093564 & 261.120572515158 \tabularnewline
0.05 & 6184.97615318008 & 268.418791886619 \tabularnewline
0.06 & 6310.93612274223 & 276.194606339306 \tabularnewline
0.07 & 6426.96188721056 & 275.167232022341 \tabularnewline
0.08 & 6534.64888425998 & 268.491707084928 \tabularnewline
0.09 & 6634.65559245065 & 263.141445423481 \tabularnewline
0.1 & 6728.49706270767 & 263.95246942557 \tabularnewline
0.11 & 6818.43753474992 & 271.877070180027 \tabularnewline
0.12 & 6906.74503361752 & 285.10804352096 \tabularnewline
0.13 & 6995.05413063262 & 300.583169329845 \tabularnewline
0.14 & 7084.06150699196 & 314.872000164537 \tabularnewline
0.15 & 7173.51554298582 & 324.815521501475 \tabularnewline
0.16 & 7262.40434710559 & 328.0482301706 \tabularnewline
0.17 & 7349.26402887601 & 323.490247485514 \tabularnewline
0.18 & 7432.5408323924 & 311.585326867089 \tabularnewline
0.19 & 7510.93664768222 & 294.201082552271 \tabularnewline
0.2 & 7583.66776331532 & 274.13826711205 \tabularnewline
0.21 & 7650.5864925138 & 254.520588035373 \tabularnewline
0.22 & 7712.15193056499 & 238.090922296661 \tabularnewline
0.23 & 7769.27555800743 & 226.594014444707 \tabularnewline
0.24 & 7823.09535476991 & 220.517570123658 \tabularnewline
0.25 & 7874.7411840694 & 219.056533380836 \tabularnewline
0.26 & 7925.14532743457 & 220.645876571568 \tabularnewline
0.27 & 7974.93154776181 & 223.425067324237 \tabularnewline
0.28 & 8024.39188711969 & 225.795750945189 \tabularnewline
0.29 & 8073.53924121991 & 226.723859042558 \tabularnewline
0.3 & 8122.20962554377 & 225.814574294183 \tabularnewline
0.31 & 8170.18228211974 & 223.316703610955 \tabularnewline
0.32 & 8217.28761372962 & 219.949356186599 \tabularnewline
0.33 & 8263.48037415044 & 216.699498606372 \tabularnewline
0.34 & 8308.86610235751 & 214.544379505795 \tabularnewline
0.35 & 8353.68004313672 & 214.167774953552 \tabularnewline
0.36 & 8398.22771737938 & 215.772934254876 \tabularnewline
0.37 & 8442.80340853287 & 219.008322668656 \tabularnewline
0.38 & 8487.60622699846 & 223.032732731556 \tabularnewline
0.39 & 8532.67282039167 & 226.632186599623 \tabularnewline
0.4 & 8577.84155337282 & 228.581219145511 \tabularnewline
0.41 & 8622.75602774886 & 227.80049999258 \tabularnewline
0.42 & 8666.90759149381 & 223.5902236982 \tabularnewline
0.43 & 8709.70869612456 & 215.744549317073 \tabularnewline
0.44 & 8750.58321553373 & 204.589942547679 \tabularnewline
0.45 & 8789.05726786482 & 190.903023699088 \tabularnewline
0.46 & 8824.83504859205 & 175.88025849436 \tabularnewline
0.47 & 8857.8481991826 & 160.842880024195 \tabularnewline
0.48 & 8888.27312621609 & 147.249233674294 \tabularnewline
0.49 & 8916.5169473604 & 136.365136355849 \tabularnewline
0.5 & 8943.17796932248 & 129.253989523218 \tabularnewline
0.51 & 8968.98984610935 & 126.536180686648 \tabularnewline
0.52 & 8994.7594950082 & 128.451934447709 \tabularnewline
0.53 & 9021.30772529246 & 134.763450691303 \tabularnewline
0.54 & 9049.41902504656 & 144.966326426444 \tabularnewline
0.55 & 9079.80386648094 & 158.420853784365 \tabularnewline
0.56 & 9113.07396379539 & 174.476632125129 \tabularnewline
0.57 & 9149.72866930333 & 192.451273120112 \tabularnewline
0.58 & 9190.14939082731 & 211.759478032023 \tabularnewline
0.59 & 9234.59860977175 & 231.783911174641 \tabularnewline
0.6 & 9283.22068072611 & 251.958347192072 \tabularnewline
0.61 & 9336.04291267726 & 271.721006296502 \tabularnewline
0.62 & 9392.9772069224 & 290.507379692995 \tabularnewline
0.63 & 9453.82440644389 & 307.753347766388 \tabularnewline
0.64 & 9518.28503716777 & 322.969887700189 \tabularnewline
0.65 & 9585.9807501285 & 335.743997786745 \tabularnewline
0.66 & 9656.48998358023 & 345.887036125798 \tabularnewline
0.67 & 9729.39885161663 & 353.477978219991 \tabularnewline
0.68 & 9804.3641793499 & 358.918642640829 \tabularnewline
0.69 & 9881.18070777675 & 362.997296123809 \tabularnewline
0.7 & 9959.84012377999 & 366.83491125101 \tabularnewline
0.71 & 10040.5673315932 & 371.703157100744 \tabularnewline
0.72 & 10123.8205886122 & 378.826083085301 \tabularnewline
0.73 & 10210.2472472812 & 389.083941569382 \tabularnewline
0.74 & 10300.5951753547 & 402.722448473541 \tabularnewline
0.75 & 10395.5897481564 & 419.29467596256 \tabularnewline
0.76 & 10495.7954778359 & 437.60878447879 \tabularnewline
0.77 & 10601.4880674329 & 455.929528551359 \tabularnewline
0.78 & 10712.5659538994 & 472.257362954556 \tabularnewline
0.79 & 10828.529847291 & 484.657353307025 \tabularnewline
0.8 & 10948.5538809936 & 491.681298021559 \tabularnewline
0.81 & 11071.6615735128 & 492.728984582275 \tabularnewline
0.82 & 11197.0024916303 & 488.451552504655 \tabularnewline
0.83 & 11324.2015272557 & 480.938348276117 \tabularnewline
0.84 & 11453.725657641 & 473.789606834676 \tabularnewline
0.85 & 11587.1891182955 & 471.693322727937 \tabularnewline
0.86 & 11727.5011352108 & 479.556085565465 \tabularnewline
0.87 & 11878.7478238235 & 501.132233815773 \tabularnewline
0.88 & 12045.6861407764 & 537.56292082082 \tabularnewline
0.89 & 12232.7260898935 & 585.959694195646 \tabularnewline
0.9 & 12442.3458319937 & 638.149174270673 \tabularnewline
0.91 & 12673.1157005131 & 680.044499470036 \tabularnewline
0.92 & 12917.9355761565 & 693.298368966062 \tabularnewline
0.93 & 13163.5385096054 & 660.794358288973 \tabularnewline
0.94 & 13392.3447727357 & 575.216668076038 \tabularnewline
0.95 & 13586.943513695 & 446.264343095888 \tabularnewline
0.96 & 13735.9666574612 & 300.395521514582 \tabularnewline
0.97 & 13838.7186265504 & 170.886941876783 \tabularnewline
0.98 & 13905.235799743 & 84.547503612632 \tabularnewline
0.99 & 13948.7303391114 & 55.4357491323325 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213136&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]5354.52964259865[/C][C]468.044541790954[/C][/ROW]
[ROW][C]0.02[/C][C]5629.93648358951[/C][C]350.08943387985[/C][/ROW]
[ROW][C]0.03[/C][C]5864.13956879133[/C][C]279.68398628689[/C][/ROW]
[ROW][C]0.04[/C][C]6041.94502093564[/C][C]261.120572515158[/C][/ROW]
[ROW][C]0.05[/C][C]6184.97615318008[/C][C]268.418791886619[/C][/ROW]
[ROW][C]0.06[/C][C]6310.93612274223[/C][C]276.194606339306[/C][/ROW]
[ROW][C]0.07[/C][C]6426.96188721056[/C][C]275.167232022341[/C][/ROW]
[ROW][C]0.08[/C][C]6534.64888425998[/C][C]268.491707084928[/C][/ROW]
[ROW][C]0.09[/C][C]6634.65559245065[/C][C]263.141445423481[/C][/ROW]
[ROW][C]0.1[/C][C]6728.49706270767[/C][C]263.95246942557[/C][/ROW]
[ROW][C]0.11[/C][C]6818.43753474992[/C][C]271.877070180027[/C][/ROW]
[ROW][C]0.12[/C][C]6906.74503361752[/C][C]285.10804352096[/C][/ROW]
[ROW][C]0.13[/C][C]6995.05413063262[/C][C]300.583169329845[/C][/ROW]
[ROW][C]0.14[/C][C]7084.06150699196[/C][C]314.872000164537[/C][/ROW]
[ROW][C]0.15[/C][C]7173.51554298582[/C][C]324.815521501475[/C][/ROW]
[ROW][C]0.16[/C][C]7262.40434710559[/C][C]328.0482301706[/C][/ROW]
[ROW][C]0.17[/C][C]7349.26402887601[/C][C]323.490247485514[/C][/ROW]
[ROW][C]0.18[/C][C]7432.5408323924[/C][C]311.585326867089[/C][/ROW]
[ROW][C]0.19[/C][C]7510.93664768222[/C][C]294.201082552271[/C][/ROW]
[ROW][C]0.2[/C][C]7583.66776331532[/C][C]274.13826711205[/C][/ROW]
[ROW][C]0.21[/C][C]7650.5864925138[/C][C]254.520588035373[/C][/ROW]
[ROW][C]0.22[/C][C]7712.15193056499[/C][C]238.090922296661[/C][/ROW]
[ROW][C]0.23[/C][C]7769.27555800743[/C][C]226.594014444707[/C][/ROW]
[ROW][C]0.24[/C][C]7823.09535476991[/C][C]220.517570123658[/C][/ROW]
[ROW][C]0.25[/C][C]7874.7411840694[/C][C]219.056533380836[/C][/ROW]
[ROW][C]0.26[/C][C]7925.14532743457[/C][C]220.645876571568[/C][/ROW]
[ROW][C]0.27[/C][C]7974.93154776181[/C][C]223.425067324237[/C][/ROW]
[ROW][C]0.28[/C][C]8024.39188711969[/C][C]225.795750945189[/C][/ROW]
[ROW][C]0.29[/C][C]8073.53924121991[/C][C]226.723859042558[/C][/ROW]
[ROW][C]0.3[/C][C]8122.20962554377[/C][C]225.814574294183[/C][/ROW]
[ROW][C]0.31[/C][C]8170.18228211974[/C][C]223.316703610955[/C][/ROW]
[ROW][C]0.32[/C][C]8217.28761372962[/C][C]219.949356186599[/C][/ROW]
[ROW][C]0.33[/C][C]8263.48037415044[/C][C]216.699498606372[/C][/ROW]
[ROW][C]0.34[/C][C]8308.86610235751[/C][C]214.544379505795[/C][/ROW]
[ROW][C]0.35[/C][C]8353.68004313672[/C][C]214.167774953552[/C][/ROW]
[ROW][C]0.36[/C][C]8398.22771737938[/C][C]215.772934254876[/C][/ROW]
[ROW][C]0.37[/C][C]8442.80340853287[/C][C]219.008322668656[/C][/ROW]
[ROW][C]0.38[/C][C]8487.60622699846[/C][C]223.032732731556[/C][/ROW]
[ROW][C]0.39[/C][C]8532.67282039167[/C][C]226.632186599623[/C][/ROW]
[ROW][C]0.4[/C][C]8577.84155337282[/C][C]228.581219145511[/C][/ROW]
[ROW][C]0.41[/C][C]8622.75602774886[/C][C]227.80049999258[/C][/ROW]
[ROW][C]0.42[/C][C]8666.90759149381[/C][C]223.5902236982[/C][/ROW]
[ROW][C]0.43[/C][C]8709.70869612456[/C][C]215.744549317073[/C][/ROW]
[ROW][C]0.44[/C][C]8750.58321553373[/C][C]204.589942547679[/C][/ROW]
[ROW][C]0.45[/C][C]8789.05726786482[/C][C]190.903023699088[/C][/ROW]
[ROW][C]0.46[/C][C]8824.83504859205[/C][C]175.88025849436[/C][/ROW]
[ROW][C]0.47[/C][C]8857.8481991826[/C][C]160.842880024195[/C][/ROW]
[ROW][C]0.48[/C][C]8888.27312621609[/C][C]147.249233674294[/C][/ROW]
[ROW][C]0.49[/C][C]8916.5169473604[/C][C]136.365136355849[/C][/ROW]
[ROW][C]0.5[/C][C]8943.17796932248[/C][C]129.253989523218[/C][/ROW]
[ROW][C]0.51[/C][C]8968.98984610935[/C][C]126.536180686648[/C][/ROW]
[ROW][C]0.52[/C][C]8994.7594950082[/C][C]128.451934447709[/C][/ROW]
[ROW][C]0.53[/C][C]9021.30772529246[/C][C]134.763450691303[/C][/ROW]
[ROW][C]0.54[/C][C]9049.41902504656[/C][C]144.966326426444[/C][/ROW]
[ROW][C]0.55[/C][C]9079.80386648094[/C][C]158.420853784365[/C][/ROW]
[ROW][C]0.56[/C][C]9113.07396379539[/C][C]174.476632125129[/C][/ROW]
[ROW][C]0.57[/C][C]9149.72866930333[/C][C]192.451273120112[/C][/ROW]
[ROW][C]0.58[/C][C]9190.14939082731[/C][C]211.759478032023[/C][/ROW]
[ROW][C]0.59[/C][C]9234.59860977175[/C][C]231.783911174641[/C][/ROW]
[ROW][C]0.6[/C][C]9283.22068072611[/C][C]251.958347192072[/C][/ROW]
[ROW][C]0.61[/C][C]9336.04291267726[/C][C]271.721006296502[/C][/ROW]
[ROW][C]0.62[/C][C]9392.9772069224[/C][C]290.507379692995[/C][/ROW]
[ROW][C]0.63[/C][C]9453.82440644389[/C][C]307.753347766388[/C][/ROW]
[ROW][C]0.64[/C][C]9518.28503716777[/C][C]322.969887700189[/C][/ROW]
[ROW][C]0.65[/C][C]9585.9807501285[/C][C]335.743997786745[/C][/ROW]
[ROW][C]0.66[/C][C]9656.48998358023[/C][C]345.887036125798[/C][/ROW]
[ROW][C]0.67[/C][C]9729.39885161663[/C][C]353.477978219991[/C][/ROW]
[ROW][C]0.68[/C][C]9804.3641793499[/C][C]358.918642640829[/C][/ROW]
[ROW][C]0.69[/C][C]9881.18070777675[/C][C]362.997296123809[/C][/ROW]
[ROW][C]0.7[/C][C]9959.84012377999[/C][C]366.83491125101[/C][/ROW]
[ROW][C]0.71[/C][C]10040.5673315932[/C][C]371.703157100744[/C][/ROW]
[ROW][C]0.72[/C][C]10123.8205886122[/C][C]378.826083085301[/C][/ROW]
[ROW][C]0.73[/C][C]10210.2472472812[/C][C]389.083941569382[/C][/ROW]
[ROW][C]0.74[/C][C]10300.5951753547[/C][C]402.722448473541[/C][/ROW]
[ROW][C]0.75[/C][C]10395.5897481564[/C][C]419.29467596256[/C][/ROW]
[ROW][C]0.76[/C][C]10495.7954778359[/C][C]437.60878447879[/C][/ROW]
[ROW][C]0.77[/C][C]10601.4880674329[/C][C]455.929528551359[/C][/ROW]
[ROW][C]0.78[/C][C]10712.5659538994[/C][C]472.257362954556[/C][/ROW]
[ROW][C]0.79[/C][C]10828.529847291[/C][C]484.657353307025[/C][/ROW]
[ROW][C]0.8[/C][C]10948.5538809936[/C][C]491.681298021559[/C][/ROW]
[ROW][C]0.81[/C][C]11071.6615735128[/C][C]492.728984582275[/C][/ROW]
[ROW][C]0.82[/C][C]11197.0024916303[/C][C]488.451552504655[/C][/ROW]
[ROW][C]0.83[/C][C]11324.2015272557[/C][C]480.938348276117[/C][/ROW]
[ROW][C]0.84[/C][C]11453.725657641[/C][C]473.789606834676[/C][/ROW]
[ROW][C]0.85[/C][C]11587.1891182955[/C][C]471.693322727937[/C][/ROW]
[ROW][C]0.86[/C][C]11727.5011352108[/C][C]479.556085565465[/C][/ROW]
[ROW][C]0.87[/C][C]11878.7478238235[/C][C]501.132233815773[/C][/ROW]
[ROW][C]0.88[/C][C]12045.6861407764[/C][C]537.56292082082[/C][/ROW]
[ROW][C]0.89[/C][C]12232.7260898935[/C][C]585.959694195646[/C][/ROW]
[ROW][C]0.9[/C][C]12442.3458319937[/C][C]638.149174270673[/C][/ROW]
[ROW][C]0.91[/C][C]12673.1157005131[/C][C]680.044499470036[/C][/ROW]
[ROW][C]0.92[/C][C]12917.9355761565[/C][C]693.298368966062[/C][/ROW]
[ROW][C]0.93[/C][C]13163.5385096054[/C][C]660.794358288973[/C][/ROW]
[ROW][C]0.94[/C][C]13392.3447727357[/C][C]575.216668076038[/C][/ROW]
[ROW][C]0.95[/C][C]13586.943513695[/C][C]446.264343095888[/C][/ROW]
[ROW][C]0.96[/C][C]13735.9666574612[/C][C]300.395521514582[/C][/ROW]
[ROW][C]0.97[/C][C]13838.7186265504[/C][C]170.886941876783[/C][/ROW]
[ROW][C]0.98[/C][C]13905.235799743[/C][C]84.547503612632[/C][/ROW]
[ROW][C]0.99[/C][C]13948.7303391114[/C][C]55.4357491323325[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213136&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213136&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
0.015354.52964259865468.044541790954
0.025629.93648358951350.08943387985
0.035864.13956879133279.68398628689
0.046041.94502093564261.120572515158
0.056184.97615318008268.418791886619
0.066310.93612274223276.194606339306
0.076426.96188721056275.167232022341
0.086534.64888425998268.491707084928
0.096634.65559245065263.141445423481
0.16728.49706270767263.95246942557
0.116818.43753474992271.877070180027
0.126906.74503361752285.10804352096
0.136995.05413063262300.583169329845
0.147084.06150699196314.872000164537
0.157173.51554298582324.815521501475
0.167262.40434710559328.0482301706
0.177349.26402887601323.490247485514
0.187432.5408323924311.585326867089
0.197510.93664768222294.201082552271
0.27583.66776331532274.13826711205
0.217650.5864925138254.520588035373
0.227712.15193056499238.090922296661
0.237769.27555800743226.594014444707
0.247823.09535476991220.517570123658
0.257874.7411840694219.056533380836
0.267925.14532743457220.645876571568
0.277974.93154776181223.425067324237
0.288024.39188711969225.795750945189
0.298073.53924121991226.723859042558
0.38122.20962554377225.814574294183
0.318170.18228211974223.316703610955
0.328217.28761372962219.949356186599
0.338263.48037415044216.699498606372
0.348308.86610235751214.544379505795
0.358353.68004313672214.167774953552
0.368398.22771737938215.772934254876
0.378442.80340853287219.008322668656
0.388487.60622699846223.032732731556
0.398532.67282039167226.632186599623
0.48577.84155337282228.581219145511
0.418622.75602774886227.80049999258
0.428666.90759149381223.5902236982
0.438709.70869612456215.744549317073
0.448750.58321553373204.589942547679
0.458789.05726786482190.903023699088
0.468824.83504859205175.88025849436
0.478857.8481991826160.842880024195
0.488888.27312621609147.249233674294
0.498916.5169473604136.365136355849
0.58943.17796932248129.253989523218
0.518968.98984610935126.536180686648
0.528994.7594950082128.451934447709
0.539021.30772529246134.763450691303
0.549049.41902504656144.966326426444
0.559079.80386648094158.420853784365
0.569113.07396379539174.476632125129
0.579149.72866930333192.451273120112
0.589190.14939082731211.759478032023
0.599234.59860977175231.783911174641
0.69283.22068072611251.958347192072
0.619336.04291267726271.721006296502
0.629392.9772069224290.507379692995
0.639453.82440644389307.753347766388
0.649518.28503716777322.969887700189
0.659585.9807501285335.743997786745
0.669656.48998358023345.887036125798
0.679729.39885161663353.477978219991
0.689804.3641793499358.918642640829
0.699881.18070777675362.997296123809
0.79959.84012377999366.83491125101
0.7110040.5673315932371.703157100744
0.7210123.8205886122378.826083085301
0.7310210.2472472812389.083941569382
0.7410300.5951753547402.722448473541
0.7510395.5897481564419.29467596256
0.7610495.7954778359437.60878447879
0.7710601.4880674329455.929528551359
0.7810712.5659538994472.257362954556
0.7910828.529847291484.657353307025
0.810948.5538809936491.681298021559
0.8111071.6615735128492.728984582275
0.8211197.0024916303488.451552504655
0.8311324.2015272557480.938348276117
0.8411453.725657641473.789606834676
0.8511587.1891182955471.693322727937
0.8611727.5011352108479.556085565465
0.8711878.7478238235501.132233815773
0.8812045.6861407764537.56292082082
0.8912232.7260898935585.959694195646
0.912442.3458319937638.149174270673
0.9112673.1157005131680.044499470036
0.9212917.9355761565693.298368966062
0.9313163.5385096054660.794358288973
0.9413392.3447727357575.216668076038
0.9513586.943513695446.264343095888
0.9613735.9666574612300.395521514582
0.9713838.7186265504170.886941876783
0.9813905.23579974384.547503612632
0.9913948.730339111455.4357491323325


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')