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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 computationMon, 25 Jul 2016 13:36:57 +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/Jul/25/t1469450257qrro8tslynf3wle.htm/, Retrieved Mon, 06 May 2024 07:39:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295946, Retrieved Mon, 06 May 2024 07:39:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160

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] [] [2016-07-25 12:36:57] [1b498ae19017f51f703ef2d779b672b0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
36439.00
36368.00
36290.00
36147.00
37615.00
37543.00
36439.00
35705.00
35777.00
35777.00
35848.00
35998.00
35998.00
35335.00
35043.00
35335.00
36368.00
36218.00
34822.00
33640.00
33419.00
32977.00
33276.00
33640.00
33497.00
33198.00
32614.00
33198.00
33718.00
33568.00
31873.00
31139.00
30405.00
29814.00
29743.00
30184.00
29593.00
29372.00
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30405.00
30548.00
29814.00
27826.00
26943.00
25547.00
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25247.00
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26430.00
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17960.00
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13251.00
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12075.00
13179.00
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11997.00
12218.00
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13764.00
11042.00
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7801.00
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6554.00
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7217.00
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6625.00
8613.00
9496.00
9055.00
7288.00
5892.00
4417.00
2721.00
3021.00
3534.00

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=295946&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=295946&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295946&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
0.013051.69951519127571.314458113505
0.023703.91992308596980.430943660169
0.034484.157996754311128.02014939881
0.045214.411149735791020.87325849027
0.055810.89673794324866.754644364617
0.066289.59977221816805.445591725781
0.076707.39201054207845.338092828196
0.087115.13920010111955.090489884702
0.097545.455983053551112.78752444821
0.18015.807061076571295.77279083565
0.118531.554854354011474.73568787856
0.129087.227458389451620.41496456642
0.139668.677352164631711.63894219105
0.1410257.03207373551740.06962306923
0.1510833.39144457081711.12951780249
0.1611382.79350011041641.15683398712
0.1711896.44010735431551.64814450079
0.1812371.90787495551462.24956463017
0.1912811.77224860371385.99529446712
0.213221.51008312741328.1321767243
0.2113607.55948585431288.55219151437
0.2213976.06841554771264.85980777708
0.2314332.40628943081254.96527681816
0.2414681.19070709851257.89287647981
0.2515026.48944665051273.35334804248
0.2615371.94430044141300.80664489942
0.2715720.71795306361338.71325175794
0.2816075.29808437691383.99399008039
0.2916437.26340938091432.55167707958
0.316807.12419157141479.79172578545
0.3117184.31460363371521.29997927277
0.3217567.35920018471553.8948095477
0.3317954.17945186611575.78435009851
0.3418342.46290520761586.99859264717
0.3518729.99837325291588.86254741943
0.3619114.89293886441583.30365864506
0.3719495.6291620891571.99073541301
0.3819870.98014555411555.91907721195
0.3920239.85283101331534.8074950553
0.420601.15310347781508.02393712322
0.4120953.74906724411474.97073180384
0.4221296.55875560951435.98153039227
0.4321628.72815591161392.5225579109
0.4421949.82144788321347.24531888242
0.4522259.93617954231302.98594448934
0.4622559.68457716451262.28437196657
0.4722850.03588077911226.52308229049
0.4823132.07220036261195.4998310075
0.4923406.75031295641167.99064570292
0.523674.76951297531141.99124736283
0.5123936.61759171391116.39144153341
0.5224192.81115867811091.56908318728
0.5324444.27931523451070.1281725641
0.5424692.78129882671056.90630804574
0.5524941.21725026111058.21976937984
0.5625193.69786632511080.22300741397
0.5725455.28470344181126.91245648178
0.5825731.38961045031198.44059573637
0.5926026.91268577411290.0270233452
0.626345.28244328151392.46768661625
0.6126687.61809376531493.42176939222
0.6227052.24351760541579.52742946771
0.6327434.73388163911639.17080640062
0.6427828.56847269841664.78654793422
0.6528226.31253105081655.04883870237
0.6628621.08987241081615.32754036067
0.6729007.98401784071557.04952492509
0.6829384.96760384171495.04665869128
0.6929753.04137059581443.66618682735
0.730115.46467986111412.18882565868
0.7130476.23561246581401.21029506058
0.7230838.24840136871402.04100837889
0.7331201.72136805411399.74041910221
0.7431563.47043646881378.39530632063
0.7531917.3774508461326.7564954574
0.7632256.02112539261242.35963937805
0.7732573.02196002371133.05510696899
0.7832865.34888406411015.3840471985
0.7933134.7635878288910.616241753074
0.833387.7839097204838.258333598642
0.8133633.9898085907808.599111958757
0.8233883.0609041575816.685794100099
0.8334141.4545814368843.427508729533
0.8434409.9059351475863.243470622084
0.8534682.7762353677854.127520779608
0.8634949.6491863932804.650278843887
0.8735198.6663590591717.008222966147
0.8835420.3144632952605.364886296763
0.8935610.1486098853489.506642712453
0.935769.4139524227387.409989437592
0.9135903.484193133309.100534312648
0.9236019.0121061574254.140132393539
0.9336121.3464959695214.151010975903
0.9436214.2663255382180.277049216007
0.9536305.1532406534154.396603567522
0.9636419.4480681731171.287925047894
0.9736617.065327633304.227680897872
0.9836960.6132741739509.341968746846
0.9937378.7097118089454.676476773119

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3051.69951519127 & 571.314458113505 \tabularnewline
0.02 & 3703.91992308596 & 980.430943660169 \tabularnewline
0.03 & 4484.15799675431 & 1128.02014939881 \tabularnewline
0.04 & 5214.41114973579 & 1020.87325849027 \tabularnewline
0.05 & 5810.89673794324 & 866.754644364617 \tabularnewline
0.06 & 6289.59977221816 & 805.445591725781 \tabularnewline
0.07 & 6707.39201054207 & 845.338092828196 \tabularnewline
0.08 & 7115.13920010111 & 955.090489884702 \tabularnewline
0.09 & 7545.45598305355 & 1112.78752444821 \tabularnewline
0.1 & 8015.80706107657 & 1295.77279083565 \tabularnewline
0.11 & 8531.55485435401 & 1474.73568787856 \tabularnewline
0.12 & 9087.22745838945 & 1620.41496456642 \tabularnewline
0.13 & 9668.67735216463 & 1711.63894219105 \tabularnewline
0.14 & 10257.0320737355 & 1740.06962306923 \tabularnewline
0.15 & 10833.3914445708 & 1711.12951780249 \tabularnewline
0.16 & 11382.7935001104 & 1641.15683398712 \tabularnewline
0.17 & 11896.4401073543 & 1551.64814450079 \tabularnewline
0.18 & 12371.9078749555 & 1462.24956463017 \tabularnewline
0.19 & 12811.7722486037 & 1385.99529446712 \tabularnewline
0.2 & 13221.5100831274 & 1328.1321767243 \tabularnewline
0.21 & 13607.5594858543 & 1288.55219151437 \tabularnewline
0.22 & 13976.0684155477 & 1264.85980777708 \tabularnewline
0.23 & 14332.4062894308 & 1254.96527681816 \tabularnewline
0.24 & 14681.1907070985 & 1257.89287647981 \tabularnewline
0.25 & 15026.4894466505 & 1273.35334804248 \tabularnewline
0.26 & 15371.9443004414 & 1300.80664489942 \tabularnewline
0.27 & 15720.7179530636 & 1338.71325175794 \tabularnewline
0.28 & 16075.2980843769 & 1383.99399008039 \tabularnewline
0.29 & 16437.2634093809 & 1432.55167707958 \tabularnewline
0.3 & 16807.1241915714 & 1479.79172578545 \tabularnewline
0.31 & 17184.3146036337 & 1521.29997927277 \tabularnewline
0.32 & 17567.3592001847 & 1553.8948095477 \tabularnewline
0.33 & 17954.1794518661 & 1575.78435009851 \tabularnewline
0.34 & 18342.4629052076 & 1586.99859264717 \tabularnewline
0.35 & 18729.9983732529 & 1588.86254741943 \tabularnewline
0.36 & 19114.8929388644 & 1583.30365864506 \tabularnewline
0.37 & 19495.629162089 & 1571.99073541301 \tabularnewline
0.38 & 19870.9801455541 & 1555.91907721195 \tabularnewline
0.39 & 20239.8528310133 & 1534.8074950553 \tabularnewline
0.4 & 20601.1531034778 & 1508.02393712322 \tabularnewline
0.41 & 20953.7490672441 & 1474.97073180384 \tabularnewline
0.42 & 21296.5587556095 & 1435.98153039227 \tabularnewline
0.43 & 21628.7281559116 & 1392.5225579109 \tabularnewline
0.44 & 21949.8214478832 & 1347.24531888242 \tabularnewline
0.45 & 22259.9361795423 & 1302.98594448934 \tabularnewline
0.46 & 22559.6845771645 & 1262.28437196657 \tabularnewline
0.47 & 22850.0358807791 & 1226.52308229049 \tabularnewline
0.48 & 23132.0722003626 & 1195.4998310075 \tabularnewline
0.49 & 23406.7503129564 & 1167.99064570292 \tabularnewline
0.5 & 23674.7695129753 & 1141.99124736283 \tabularnewline
0.51 & 23936.6175917139 & 1116.39144153341 \tabularnewline
0.52 & 24192.8111586781 & 1091.56908318728 \tabularnewline
0.53 & 24444.2793152345 & 1070.1281725641 \tabularnewline
0.54 & 24692.7812988267 & 1056.90630804574 \tabularnewline
0.55 & 24941.2172502611 & 1058.21976937984 \tabularnewline
0.56 & 25193.6978663251 & 1080.22300741397 \tabularnewline
0.57 & 25455.2847034418 & 1126.91245648178 \tabularnewline
0.58 & 25731.3896104503 & 1198.44059573637 \tabularnewline
0.59 & 26026.9126857741 & 1290.0270233452 \tabularnewline
0.6 & 26345.2824432815 & 1392.46768661625 \tabularnewline
0.61 & 26687.6180937653 & 1493.42176939222 \tabularnewline
0.62 & 27052.2435176054 & 1579.52742946771 \tabularnewline
0.63 & 27434.7338816391 & 1639.17080640062 \tabularnewline
0.64 & 27828.5684726984 & 1664.78654793422 \tabularnewline
0.65 & 28226.3125310508 & 1655.04883870237 \tabularnewline
0.66 & 28621.0898724108 & 1615.32754036067 \tabularnewline
0.67 & 29007.9840178407 & 1557.04952492509 \tabularnewline
0.68 & 29384.9676038417 & 1495.04665869128 \tabularnewline
0.69 & 29753.0413705958 & 1443.66618682735 \tabularnewline
0.7 & 30115.4646798611 & 1412.18882565868 \tabularnewline
0.71 & 30476.2356124658 & 1401.21029506058 \tabularnewline
0.72 & 30838.2484013687 & 1402.04100837889 \tabularnewline
0.73 & 31201.7213680541 & 1399.74041910221 \tabularnewline
0.74 & 31563.4704364688 & 1378.39530632063 \tabularnewline
0.75 & 31917.377450846 & 1326.7564954574 \tabularnewline
0.76 & 32256.0211253926 & 1242.35963937805 \tabularnewline
0.77 & 32573.0219600237 & 1133.05510696899 \tabularnewline
0.78 & 32865.3488840641 & 1015.3840471985 \tabularnewline
0.79 & 33134.7635878288 & 910.616241753074 \tabularnewline
0.8 & 33387.7839097204 & 838.258333598642 \tabularnewline
0.81 & 33633.9898085907 & 808.599111958757 \tabularnewline
0.82 & 33883.0609041575 & 816.685794100099 \tabularnewline
0.83 & 34141.4545814368 & 843.427508729533 \tabularnewline
0.84 & 34409.9059351475 & 863.243470622084 \tabularnewline
0.85 & 34682.7762353677 & 854.127520779608 \tabularnewline
0.86 & 34949.6491863932 & 804.650278843887 \tabularnewline
0.87 & 35198.6663590591 & 717.008222966147 \tabularnewline
0.88 & 35420.3144632952 & 605.364886296763 \tabularnewline
0.89 & 35610.1486098853 & 489.506642712453 \tabularnewline
0.9 & 35769.4139524227 & 387.409989437592 \tabularnewline
0.91 & 35903.484193133 & 309.100534312648 \tabularnewline
0.92 & 36019.0121061574 & 254.140132393539 \tabularnewline
0.93 & 36121.3464959695 & 214.151010975903 \tabularnewline
0.94 & 36214.2663255382 & 180.277049216007 \tabularnewline
0.95 & 36305.1532406534 & 154.396603567522 \tabularnewline
0.96 & 36419.4480681731 & 171.287925047894 \tabularnewline
0.97 & 36617.065327633 & 304.227680897872 \tabularnewline
0.98 & 36960.6132741739 & 509.341968746846 \tabularnewline
0.99 & 37378.7097118089 & 454.676476773119 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295946&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]3051.69951519127[/C][C]571.314458113505[/C][/ROW]
[ROW][C]0.02[/C][C]3703.91992308596[/C][C]980.430943660169[/C][/ROW]
[ROW][C]0.03[/C][C]4484.15799675431[/C][C]1128.02014939881[/C][/ROW]
[ROW][C]0.04[/C][C]5214.41114973579[/C][C]1020.87325849027[/C][/ROW]
[ROW][C]0.05[/C][C]5810.89673794324[/C][C]866.754644364617[/C][/ROW]
[ROW][C]0.06[/C][C]6289.59977221816[/C][C]805.445591725781[/C][/ROW]
[ROW][C]0.07[/C][C]6707.39201054207[/C][C]845.338092828196[/C][/ROW]
[ROW][C]0.08[/C][C]7115.13920010111[/C][C]955.090489884702[/C][/ROW]
[ROW][C]0.09[/C][C]7545.45598305355[/C][C]1112.78752444821[/C][/ROW]
[ROW][C]0.1[/C][C]8015.80706107657[/C][C]1295.77279083565[/C][/ROW]
[ROW][C]0.11[/C][C]8531.55485435401[/C][C]1474.73568787856[/C][/ROW]
[ROW][C]0.12[/C][C]9087.22745838945[/C][C]1620.41496456642[/C][/ROW]
[ROW][C]0.13[/C][C]9668.67735216463[/C][C]1711.63894219105[/C][/ROW]
[ROW][C]0.14[/C][C]10257.0320737355[/C][C]1740.06962306923[/C][/ROW]
[ROW][C]0.15[/C][C]10833.3914445708[/C][C]1711.12951780249[/C][/ROW]
[ROW][C]0.16[/C][C]11382.7935001104[/C][C]1641.15683398712[/C][/ROW]
[ROW][C]0.17[/C][C]11896.4401073543[/C][C]1551.64814450079[/C][/ROW]
[ROW][C]0.18[/C][C]12371.9078749555[/C][C]1462.24956463017[/C][/ROW]
[ROW][C]0.19[/C][C]12811.7722486037[/C][C]1385.99529446712[/C][/ROW]
[ROW][C]0.2[/C][C]13221.5100831274[/C][C]1328.1321767243[/C][/ROW]
[ROW][C]0.21[/C][C]13607.5594858543[/C][C]1288.55219151437[/C][/ROW]
[ROW][C]0.22[/C][C]13976.0684155477[/C][C]1264.85980777708[/C][/ROW]
[ROW][C]0.23[/C][C]14332.4062894308[/C][C]1254.96527681816[/C][/ROW]
[ROW][C]0.24[/C][C]14681.1907070985[/C][C]1257.89287647981[/C][/ROW]
[ROW][C]0.25[/C][C]15026.4894466505[/C][C]1273.35334804248[/C][/ROW]
[ROW][C]0.26[/C][C]15371.9443004414[/C][C]1300.80664489942[/C][/ROW]
[ROW][C]0.27[/C][C]15720.7179530636[/C][C]1338.71325175794[/C][/ROW]
[ROW][C]0.28[/C][C]16075.2980843769[/C][C]1383.99399008039[/C][/ROW]
[ROW][C]0.29[/C][C]16437.2634093809[/C][C]1432.55167707958[/C][/ROW]
[ROW][C]0.3[/C][C]16807.1241915714[/C][C]1479.79172578545[/C][/ROW]
[ROW][C]0.31[/C][C]17184.3146036337[/C][C]1521.29997927277[/C][/ROW]
[ROW][C]0.32[/C][C]17567.3592001847[/C][C]1553.8948095477[/C][/ROW]
[ROW][C]0.33[/C][C]17954.1794518661[/C][C]1575.78435009851[/C][/ROW]
[ROW][C]0.34[/C][C]18342.4629052076[/C][C]1586.99859264717[/C][/ROW]
[ROW][C]0.35[/C][C]18729.9983732529[/C][C]1588.86254741943[/C][/ROW]
[ROW][C]0.36[/C][C]19114.8929388644[/C][C]1583.30365864506[/C][/ROW]
[ROW][C]0.37[/C][C]19495.629162089[/C][C]1571.99073541301[/C][/ROW]
[ROW][C]0.38[/C][C]19870.9801455541[/C][C]1555.91907721195[/C][/ROW]
[ROW][C]0.39[/C][C]20239.8528310133[/C][C]1534.8074950553[/C][/ROW]
[ROW][C]0.4[/C][C]20601.1531034778[/C][C]1508.02393712322[/C][/ROW]
[ROW][C]0.41[/C][C]20953.7490672441[/C][C]1474.97073180384[/C][/ROW]
[ROW][C]0.42[/C][C]21296.5587556095[/C][C]1435.98153039227[/C][/ROW]
[ROW][C]0.43[/C][C]21628.7281559116[/C][C]1392.5225579109[/C][/ROW]
[ROW][C]0.44[/C][C]21949.8214478832[/C][C]1347.24531888242[/C][/ROW]
[ROW][C]0.45[/C][C]22259.9361795423[/C][C]1302.98594448934[/C][/ROW]
[ROW][C]0.46[/C][C]22559.6845771645[/C][C]1262.28437196657[/C][/ROW]
[ROW][C]0.47[/C][C]22850.0358807791[/C][C]1226.52308229049[/C][/ROW]
[ROW][C]0.48[/C][C]23132.0722003626[/C][C]1195.4998310075[/C][/ROW]
[ROW][C]0.49[/C][C]23406.7503129564[/C][C]1167.99064570292[/C][/ROW]
[ROW][C]0.5[/C][C]23674.7695129753[/C][C]1141.99124736283[/C][/ROW]
[ROW][C]0.51[/C][C]23936.6175917139[/C][C]1116.39144153341[/C][/ROW]
[ROW][C]0.52[/C][C]24192.8111586781[/C][C]1091.56908318728[/C][/ROW]
[ROW][C]0.53[/C][C]24444.2793152345[/C][C]1070.1281725641[/C][/ROW]
[ROW][C]0.54[/C][C]24692.7812988267[/C][C]1056.90630804574[/C][/ROW]
[ROW][C]0.55[/C][C]24941.2172502611[/C][C]1058.21976937984[/C][/ROW]
[ROW][C]0.56[/C][C]25193.6978663251[/C][C]1080.22300741397[/C][/ROW]
[ROW][C]0.57[/C][C]25455.2847034418[/C][C]1126.91245648178[/C][/ROW]
[ROW][C]0.58[/C][C]25731.3896104503[/C][C]1198.44059573637[/C][/ROW]
[ROW][C]0.59[/C][C]26026.9126857741[/C][C]1290.0270233452[/C][/ROW]
[ROW][C]0.6[/C][C]26345.2824432815[/C][C]1392.46768661625[/C][/ROW]
[ROW][C]0.61[/C][C]26687.6180937653[/C][C]1493.42176939222[/C][/ROW]
[ROW][C]0.62[/C][C]27052.2435176054[/C][C]1579.52742946771[/C][/ROW]
[ROW][C]0.63[/C][C]27434.7338816391[/C][C]1639.17080640062[/C][/ROW]
[ROW][C]0.64[/C][C]27828.5684726984[/C][C]1664.78654793422[/C][/ROW]
[ROW][C]0.65[/C][C]28226.3125310508[/C][C]1655.04883870237[/C][/ROW]
[ROW][C]0.66[/C][C]28621.0898724108[/C][C]1615.32754036067[/C][/ROW]
[ROW][C]0.67[/C][C]29007.9840178407[/C][C]1557.04952492509[/C][/ROW]
[ROW][C]0.68[/C][C]29384.9676038417[/C][C]1495.04665869128[/C][/ROW]
[ROW][C]0.69[/C][C]29753.0413705958[/C][C]1443.66618682735[/C][/ROW]
[ROW][C]0.7[/C][C]30115.4646798611[/C][C]1412.18882565868[/C][/ROW]
[ROW][C]0.71[/C][C]30476.2356124658[/C][C]1401.21029506058[/C][/ROW]
[ROW][C]0.72[/C][C]30838.2484013687[/C][C]1402.04100837889[/C][/ROW]
[ROW][C]0.73[/C][C]31201.7213680541[/C][C]1399.74041910221[/C][/ROW]
[ROW][C]0.74[/C][C]31563.4704364688[/C][C]1378.39530632063[/C][/ROW]
[ROW][C]0.75[/C][C]31917.377450846[/C][C]1326.7564954574[/C][/ROW]
[ROW][C]0.76[/C][C]32256.0211253926[/C][C]1242.35963937805[/C][/ROW]
[ROW][C]0.77[/C][C]32573.0219600237[/C][C]1133.05510696899[/C][/ROW]
[ROW][C]0.78[/C][C]32865.3488840641[/C][C]1015.3840471985[/C][/ROW]
[ROW][C]0.79[/C][C]33134.7635878288[/C][C]910.616241753074[/C][/ROW]
[ROW][C]0.8[/C][C]33387.7839097204[/C][C]838.258333598642[/C][/ROW]
[ROW][C]0.81[/C][C]33633.9898085907[/C][C]808.599111958757[/C][/ROW]
[ROW][C]0.82[/C][C]33883.0609041575[/C][C]816.685794100099[/C][/ROW]
[ROW][C]0.83[/C][C]34141.4545814368[/C][C]843.427508729533[/C][/ROW]
[ROW][C]0.84[/C][C]34409.9059351475[/C][C]863.243470622084[/C][/ROW]
[ROW][C]0.85[/C][C]34682.7762353677[/C][C]854.127520779608[/C][/ROW]
[ROW][C]0.86[/C][C]34949.6491863932[/C][C]804.650278843887[/C][/ROW]
[ROW][C]0.87[/C][C]35198.6663590591[/C][C]717.008222966147[/C][/ROW]
[ROW][C]0.88[/C][C]35420.3144632952[/C][C]605.364886296763[/C][/ROW]
[ROW][C]0.89[/C][C]35610.1486098853[/C][C]489.506642712453[/C][/ROW]
[ROW][C]0.9[/C][C]35769.4139524227[/C][C]387.409989437592[/C][/ROW]
[ROW][C]0.91[/C][C]35903.484193133[/C][C]309.100534312648[/C][/ROW]
[ROW][C]0.92[/C][C]36019.0121061574[/C][C]254.140132393539[/C][/ROW]
[ROW][C]0.93[/C][C]36121.3464959695[/C][C]214.151010975903[/C][/ROW]
[ROW][C]0.94[/C][C]36214.2663255382[/C][C]180.277049216007[/C][/ROW]
[ROW][C]0.95[/C][C]36305.1532406534[/C][C]154.396603567522[/C][/ROW]
[ROW][C]0.96[/C][C]36419.4480681731[/C][C]171.287925047894[/C][/ROW]
[ROW][C]0.97[/C][C]36617.065327633[/C][C]304.227680897872[/C][/ROW]
[ROW][C]0.98[/C][C]36960.6132741739[/C][C]509.341968746846[/C][/ROW]
[ROW][C]0.99[/C][C]37378.7097118089[/C][C]454.676476773119[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295946&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295946&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
0.013051.69951519127571.314458113505
0.023703.91992308596980.430943660169
0.034484.157996754311128.02014939881
0.045214.411149735791020.87325849027
0.055810.89673794324866.754644364617
0.066289.59977221816805.445591725781
0.076707.39201054207845.338092828196
0.087115.13920010111955.090489884702
0.097545.455983053551112.78752444821
0.18015.807061076571295.77279083565
0.118531.554854354011474.73568787856
0.129087.227458389451620.41496456642
0.139668.677352164631711.63894219105
0.1410257.03207373551740.06962306923
0.1510833.39144457081711.12951780249
0.1611382.79350011041641.15683398712
0.1711896.44010735431551.64814450079
0.1812371.90787495551462.24956463017
0.1912811.77224860371385.99529446712
0.213221.51008312741328.1321767243
0.2113607.55948585431288.55219151437
0.2213976.06841554771264.85980777708
0.2314332.40628943081254.96527681816
0.2414681.19070709851257.89287647981
0.2515026.48944665051273.35334804248
0.2615371.94430044141300.80664489942
0.2715720.71795306361338.71325175794
0.2816075.29808437691383.99399008039
0.2916437.26340938091432.55167707958
0.316807.12419157141479.79172578545
0.3117184.31460363371521.29997927277
0.3217567.35920018471553.8948095477
0.3317954.17945186611575.78435009851
0.3418342.46290520761586.99859264717
0.3518729.99837325291588.86254741943
0.3619114.89293886441583.30365864506
0.3719495.6291620891571.99073541301
0.3819870.98014555411555.91907721195
0.3920239.85283101331534.8074950553
0.420601.15310347781508.02393712322
0.4120953.74906724411474.97073180384
0.4221296.55875560951435.98153039227
0.4321628.72815591161392.5225579109
0.4421949.82144788321347.24531888242
0.4522259.93617954231302.98594448934
0.4622559.68457716451262.28437196657
0.4722850.03588077911226.52308229049
0.4823132.07220036261195.4998310075
0.4923406.75031295641167.99064570292
0.523674.76951297531141.99124736283
0.5123936.61759171391116.39144153341
0.5224192.81115867811091.56908318728
0.5324444.27931523451070.1281725641
0.5424692.78129882671056.90630804574
0.5524941.21725026111058.21976937984
0.5625193.69786632511080.22300741397
0.5725455.28470344181126.91245648178
0.5825731.38961045031198.44059573637
0.5926026.91268577411290.0270233452
0.626345.28244328151392.46768661625
0.6126687.61809376531493.42176939222
0.6227052.24351760541579.52742946771
0.6327434.73388163911639.17080640062
0.6427828.56847269841664.78654793422
0.6528226.31253105081655.04883870237
0.6628621.08987241081615.32754036067
0.6729007.98401784071557.04952492509
0.6829384.96760384171495.04665869128
0.6929753.04137059581443.66618682735
0.730115.46467986111412.18882565868
0.7130476.23561246581401.21029506058
0.7230838.24840136871402.04100837889
0.7331201.72136805411399.74041910221
0.7431563.47043646881378.39530632063
0.7531917.3774508461326.7564954574
0.7632256.02112539261242.35963937805
0.7732573.02196002371133.05510696899
0.7832865.34888406411015.3840471985
0.7933134.7635878288910.616241753074
0.833387.7839097204838.258333598642
0.8133633.9898085907808.599111958757
0.8233883.0609041575816.685794100099
0.8334141.4545814368843.427508729533
0.8434409.9059351475863.243470622084
0.8534682.7762353677854.127520779608
0.8634949.6491863932804.650278843887
0.8735198.6663590591717.008222966147
0.8835420.3144632952605.364886296763
0.8935610.1486098853489.506642712453
0.935769.4139524227387.409989437592
0.9135903.484193133309.100534312648
0.9236019.0121061574254.140132393539
0.9336121.3464959695214.151010975903
0.9436214.2663255382180.277049216007
0.9536305.1532406534154.396603567522
0.9636419.4480681731171.287925047894
0.9736617.065327633304.227680897872
0.9836960.6132741739509.341968746846
0.9937378.7097118089454.676476773119


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')