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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 25 Dec 2010 18:08:59 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/25/t1293300471x5gwnz4w2ffg2jo.htm/, Retrieved Mon, 29 Apr 2024 05:54:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=115428, Retrieved Mon, 29 Apr 2024 05:54:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

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] [Deposito's met va...] [2010-12-25 18:08:59] [f593aab944ee27cf123b0a348e80fa81] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
61,2
62
65,1
63,2
66,3
61,9
62,1
66,3
72
65,3
67,6
70,5
74,2
77,8
78,5
77,8
81,4
84,5
88
93,9
98,9
96,7
98,9
102,2
105,4
105,1
116,6
112
108,8
106,9
109,5
106,7
118,9
117,5
113,7
119,6
120,6
117,5
120,3
119,8
108
98,8
94,6
84,6
84,4
79,1
73,3
74,3
67,8
64,8
66,5
57,7
53,8
51,8
50,9
49
48,1
42,6
40,9
43,3
43,7

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115428&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115428&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115428&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0141.32313554671021.51929152766175
0.0241.98558239037241.45033342580166
0.0342.763908903931.65736550074823
0.0443.6106461073092.10581674691396
0.0544.53015473719412.6290109519395
0.0645.53167890806153.09721277377318
0.0746.60828752293973.45761397964872
0.0847.74010962134373.72221054146544
0.0948.90537847494623.93545830944741
0.150.087969358594.13779319574495
0.1151.27849876234054.34223390865581
0.1252.47106396730574.53235991342485
0.1353.65898960213174.67555760450362
0.1454.83206034021514.73891490372507
0.1555.976167363694.70163773968196
0.1657.07501062447934.56027871368016
0.1758.11283475905794.32843700481143
0.1859.07710368485114.03209234351126
0.1959.9603282382083.70335293745795
0.260.76071492450143.37383585419123
0.2161.48171667380593.06948057411366
0.2262.13083381460252.80768053001999
0.2362.71810745981932.59655019841786
0.2463.25469667727582.43696566703022
0.2563.75179348984212.32542376692315
0.2664.21996885854592.25716142076762
0.2764.66890771700292.22887098681998
0.2865.10740890253642.23896673360131
0.2965.54350128626712.28695694396692
0.365.98454912774632.37263147223207
0.3166.43726828197092.49416724123832
0.3266.90763046705732.64746304317991
0.3367.40067990540482.82639110693387
0.3467.92031638834443.02265004506776
0.3568.46910870055363.22687509178785
0.3669.04819480689953.42953840294311
0.3769.65730562383873.62228061525711
0.3870.29492401571073.79824691639066
0.3970.95856591713943.95280356922302
0.471.64515083874794.08407525129727
0.4172.35141720936774.19290742334466
0.4273.07433478932714.28261057080973
0.4373.81147076534034.35834820505522
0.4474.56127590372384.42696143259603
0.4575.32326953726734.49564030727341
0.4676.09811453956274.57182826972168
0.4776.88758378494744.66241772387957
0.4877.69442684878674.77294372673136
0.4978.52214985469294.90724408642468
0.579.37472328712095.06725084286289
0.5180.25623366498615.25260622966223
0.5281.17049669929925.46015126104359
0.5382.12065299817115.68454607203521
0.5483.1087727344335.91763602426993
0.5584.13550202174496.1494858826171
0.5685.19978901484346.36826266476371
0.5786.298729204576.56152388357323
0.5887.42756429786686.71715201287476
0.5988.57985573383776.82463555494339
0.689.74783248319696.87615731518346
0.6190.92288596967916.86772375026897
0.6292.09615775275246.79974532610637
0.6393.25914448775236.67708852755475
0.6494.40423596759236.50813634078591
0.6595.52511005966696.30380314894531
0.6696.6169337135596.07594299327786
0.6797.67635804077745.83532709193254
0.6898.70133972294145.59050242660929
0.6999.69086016899435.34670532741505
0.7100.6446375114875.10633643920584
0.71101.5629272820854.8692650919607
0.72102.4464832696094.63542893137695
0.73103.2967046941574.40578832435306
0.74104.1159390026824.18394096949341
0.75104.907854210373.97698335179032
0.76105.6777540060993.79493866155305
0.77106.4326934554883.64916364775591
0.78107.181269140823.55036041210396
0.79107.9330057051853.50458520239299
0.8108.6973365761983.51096791049074
0.81109.4822708273143.55944542738563
0.82110.2929362747643.63123846169926
0.83111.1302707468753.70123402984576
0.84111.9901731042133.74147797527266
0.85112.8633952340633.72628608318576
0.86113.7363359228113.63672541613272
0.87114.5926906690333.46453817125115
0.88115.4156608384683.2142897356057
0.89116.1902171939792.90278259421593
0.9116.9048543813342.55495939635352
0.91117.5524393862552.19734072712336
0.92118.1301206352371.85136689617005
0.93118.6386551153881.5295127611903
0.94119.0816631593331.23705074294602
0.95119.4650250751790.977464801517861
0.96119.7959277121860.756039923974698
0.97120.0803794682670.576320102983509
0.98120.3183081256440.436262068901945
0.99120.4982570899230.339005260055935

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 41.3231355467102 & 1.51929152766175 \tabularnewline
0.02 & 41.9855823903724 & 1.45033342580166 \tabularnewline
0.03 & 42.76390890393 & 1.65736550074823 \tabularnewline
0.04 & 43.610646107309 & 2.10581674691396 \tabularnewline
0.05 & 44.5301547371941 & 2.6290109519395 \tabularnewline
0.06 & 45.5316789080615 & 3.09721277377318 \tabularnewline
0.07 & 46.6082875229397 & 3.45761397964872 \tabularnewline
0.08 & 47.7401096213437 & 3.72221054146544 \tabularnewline
0.09 & 48.9053784749462 & 3.93545830944741 \tabularnewline
0.1 & 50.08796935859 & 4.13779319574495 \tabularnewline
0.11 & 51.2784987623405 & 4.34223390865581 \tabularnewline
0.12 & 52.4710639673057 & 4.53235991342485 \tabularnewline
0.13 & 53.6589896021317 & 4.67555760450362 \tabularnewline
0.14 & 54.8320603402151 & 4.73891490372507 \tabularnewline
0.15 & 55.97616736369 & 4.70163773968196 \tabularnewline
0.16 & 57.0750106244793 & 4.56027871368016 \tabularnewline
0.17 & 58.1128347590579 & 4.32843700481143 \tabularnewline
0.18 & 59.0771036848511 & 4.03209234351126 \tabularnewline
0.19 & 59.960328238208 & 3.70335293745795 \tabularnewline
0.2 & 60.7607149245014 & 3.37383585419123 \tabularnewline
0.21 & 61.4817166738059 & 3.06948057411366 \tabularnewline
0.22 & 62.1308338146025 & 2.80768053001999 \tabularnewline
0.23 & 62.7181074598193 & 2.59655019841786 \tabularnewline
0.24 & 63.2546966772758 & 2.43696566703022 \tabularnewline
0.25 & 63.7517934898421 & 2.32542376692315 \tabularnewline
0.26 & 64.2199688585459 & 2.25716142076762 \tabularnewline
0.27 & 64.6689077170029 & 2.22887098681998 \tabularnewline
0.28 & 65.1074089025364 & 2.23896673360131 \tabularnewline
0.29 & 65.5435012862671 & 2.28695694396692 \tabularnewline
0.3 & 65.9845491277463 & 2.37263147223207 \tabularnewline
0.31 & 66.4372682819709 & 2.49416724123832 \tabularnewline
0.32 & 66.9076304670573 & 2.64746304317991 \tabularnewline
0.33 & 67.4006799054048 & 2.82639110693387 \tabularnewline
0.34 & 67.9203163883444 & 3.02265004506776 \tabularnewline
0.35 & 68.4691087005536 & 3.22687509178785 \tabularnewline
0.36 & 69.0481948068995 & 3.42953840294311 \tabularnewline
0.37 & 69.6573056238387 & 3.62228061525711 \tabularnewline
0.38 & 70.2949240157107 & 3.79824691639066 \tabularnewline
0.39 & 70.9585659171394 & 3.95280356922302 \tabularnewline
0.4 & 71.6451508387479 & 4.08407525129727 \tabularnewline
0.41 & 72.3514172093677 & 4.19290742334466 \tabularnewline
0.42 & 73.0743347893271 & 4.28261057080973 \tabularnewline
0.43 & 73.8114707653403 & 4.35834820505522 \tabularnewline
0.44 & 74.5612759037238 & 4.42696143259603 \tabularnewline
0.45 & 75.3232695372673 & 4.49564030727341 \tabularnewline
0.46 & 76.0981145395627 & 4.57182826972168 \tabularnewline
0.47 & 76.8875837849474 & 4.66241772387957 \tabularnewline
0.48 & 77.6944268487867 & 4.77294372673136 \tabularnewline
0.49 & 78.5221498546929 & 4.90724408642468 \tabularnewline
0.5 & 79.3747232871209 & 5.06725084286289 \tabularnewline
0.51 & 80.2562336649861 & 5.25260622966223 \tabularnewline
0.52 & 81.1704966992992 & 5.46015126104359 \tabularnewline
0.53 & 82.1206529981711 & 5.68454607203521 \tabularnewline
0.54 & 83.108772734433 & 5.91763602426993 \tabularnewline
0.55 & 84.1355020217449 & 6.1494858826171 \tabularnewline
0.56 & 85.1997890148434 & 6.36826266476371 \tabularnewline
0.57 & 86.29872920457 & 6.56152388357323 \tabularnewline
0.58 & 87.4275642978668 & 6.71715201287476 \tabularnewline
0.59 & 88.5798557338377 & 6.82463555494339 \tabularnewline
0.6 & 89.7478324831969 & 6.87615731518346 \tabularnewline
0.61 & 90.9228859696791 & 6.86772375026897 \tabularnewline
0.62 & 92.0961577527524 & 6.79974532610637 \tabularnewline
0.63 & 93.2591444877523 & 6.67708852755475 \tabularnewline
0.64 & 94.4042359675923 & 6.50813634078591 \tabularnewline
0.65 & 95.5251100596669 & 6.30380314894531 \tabularnewline
0.66 & 96.616933713559 & 6.07594299327786 \tabularnewline
0.67 & 97.6763580407774 & 5.83532709193254 \tabularnewline
0.68 & 98.7013397229414 & 5.59050242660929 \tabularnewline
0.69 & 99.6908601689943 & 5.34670532741505 \tabularnewline
0.7 & 100.644637511487 & 5.10633643920584 \tabularnewline
0.71 & 101.562927282085 & 4.8692650919607 \tabularnewline
0.72 & 102.446483269609 & 4.63542893137695 \tabularnewline
0.73 & 103.296704694157 & 4.40578832435306 \tabularnewline
0.74 & 104.115939002682 & 4.18394096949341 \tabularnewline
0.75 & 104.90785421037 & 3.97698335179032 \tabularnewline
0.76 & 105.677754006099 & 3.79493866155305 \tabularnewline
0.77 & 106.432693455488 & 3.64916364775591 \tabularnewline
0.78 & 107.18126914082 & 3.55036041210396 \tabularnewline
0.79 & 107.933005705185 & 3.50458520239299 \tabularnewline
0.8 & 108.697336576198 & 3.51096791049074 \tabularnewline
0.81 & 109.482270827314 & 3.55944542738563 \tabularnewline
0.82 & 110.292936274764 & 3.63123846169926 \tabularnewline
0.83 & 111.130270746875 & 3.70123402984576 \tabularnewline
0.84 & 111.990173104213 & 3.74147797527266 \tabularnewline
0.85 & 112.863395234063 & 3.72628608318576 \tabularnewline
0.86 & 113.736335922811 & 3.63672541613272 \tabularnewline
0.87 & 114.592690669033 & 3.46453817125115 \tabularnewline
0.88 & 115.415660838468 & 3.2142897356057 \tabularnewline
0.89 & 116.190217193979 & 2.90278259421593 \tabularnewline
0.9 & 116.904854381334 & 2.55495939635352 \tabularnewline
0.91 & 117.552439386255 & 2.19734072712336 \tabularnewline
0.92 & 118.130120635237 & 1.85136689617005 \tabularnewline
0.93 & 118.638655115388 & 1.5295127611903 \tabularnewline
0.94 & 119.081663159333 & 1.23705074294602 \tabularnewline
0.95 & 119.465025075179 & 0.977464801517861 \tabularnewline
0.96 & 119.795927712186 & 0.756039923974698 \tabularnewline
0.97 & 120.080379468267 & 0.576320102983509 \tabularnewline
0.98 & 120.318308125644 & 0.436262068901945 \tabularnewline
0.99 & 120.498257089923 & 0.339005260055935 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115428&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]41.3231355467102[/C][C]1.51929152766175[/C][/ROW]
[ROW][C]0.02[/C][C]41.9855823903724[/C][C]1.45033342580166[/C][/ROW]
[ROW][C]0.03[/C][C]42.76390890393[/C][C]1.65736550074823[/C][/ROW]
[ROW][C]0.04[/C][C]43.610646107309[/C][C]2.10581674691396[/C][/ROW]
[ROW][C]0.05[/C][C]44.5301547371941[/C][C]2.6290109519395[/C][/ROW]
[ROW][C]0.06[/C][C]45.5316789080615[/C][C]3.09721277377318[/C][/ROW]
[ROW][C]0.07[/C][C]46.6082875229397[/C][C]3.45761397964872[/C][/ROW]
[ROW][C]0.08[/C][C]47.7401096213437[/C][C]3.72221054146544[/C][/ROW]
[ROW][C]0.09[/C][C]48.9053784749462[/C][C]3.93545830944741[/C][/ROW]
[ROW][C]0.1[/C][C]50.08796935859[/C][C]4.13779319574495[/C][/ROW]
[ROW][C]0.11[/C][C]51.2784987623405[/C][C]4.34223390865581[/C][/ROW]
[ROW][C]0.12[/C][C]52.4710639673057[/C][C]4.53235991342485[/C][/ROW]
[ROW][C]0.13[/C][C]53.6589896021317[/C][C]4.67555760450362[/C][/ROW]
[ROW][C]0.14[/C][C]54.8320603402151[/C][C]4.73891490372507[/C][/ROW]
[ROW][C]0.15[/C][C]55.97616736369[/C][C]4.70163773968196[/C][/ROW]
[ROW][C]0.16[/C][C]57.0750106244793[/C][C]4.56027871368016[/C][/ROW]
[ROW][C]0.17[/C][C]58.1128347590579[/C][C]4.32843700481143[/C][/ROW]
[ROW][C]0.18[/C][C]59.0771036848511[/C][C]4.03209234351126[/C][/ROW]
[ROW][C]0.19[/C][C]59.960328238208[/C][C]3.70335293745795[/C][/ROW]
[ROW][C]0.2[/C][C]60.7607149245014[/C][C]3.37383585419123[/C][/ROW]
[ROW][C]0.21[/C][C]61.4817166738059[/C][C]3.06948057411366[/C][/ROW]
[ROW][C]0.22[/C][C]62.1308338146025[/C][C]2.80768053001999[/C][/ROW]
[ROW][C]0.23[/C][C]62.7181074598193[/C][C]2.59655019841786[/C][/ROW]
[ROW][C]0.24[/C][C]63.2546966772758[/C][C]2.43696566703022[/C][/ROW]
[ROW][C]0.25[/C][C]63.7517934898421[/C][C]2.32542376692315[/C][/ROW]
[ROW][C]0.26[/C][C]64.2199688585459[/C][C]2.25716142076762[/C][/ROW]
[ROW][C]0.27[/C][C]64.6689077170029[/C][C]2.22887098681998[/C][/ROW]
[ROW][C]0.28[/C][C]65.1074089025364[/C][C]2.23896673360131[/C][/ROW]
[ROW][C]0.29[/C][C]65.5435012862671[/C][C]2.28695694396692[/C][/ROW]
[ROW][C]0.3[/C][C]65.9845491277463[/C][C]2.37263147223207[/C][/ROW]
[ROW][C]0.31[/C][C]66.4372682819709[/C][C]2.49416724123832[/C][/ROW]
[ROW][C]0.32[/C][C]66.9076304670573[/C][C]2.64746304317991[/C][/ROW]
[ROW][C]0.33[/C][C]67.4006799054048[/C][C]2.82639110693387[/C][/ROW]
[ROW][C]0.34[/C][C]67.9203163883444[/C][C]3.02265004506776[/C][/ROW]
[ROW][C]0.35[/C][C]68.4691087005536[/C][C]3.22687509178785[/C][/ROW]
[ROW][C]0.36[/C][C]69.0481948068995[/C][C]3.42953840294311[/C][/ROW]
[ROW][C]0.37[/C][C]69.6573056238387[/C][C]3.62228061525711[/C][/ROW]
[ROW][C]0.38[/C][C]70.2949240157107[/C][C]3.79824691639066[/C][/ROW]
[ROW][C]0.39[/C][C]70.9585659171394[/C][C]3.95280356922302[/C][/ROW]
[ROW][C]0.4[/C][C]71.6451508387479[/C][C]4.08407525129727[/C][/ROW]
[ROW][C]0.41[/C][C]72.3514172093677[/C][C]4.19290742334466[/C][/ROW]
[ROW][C]0.42[/C][C]73.0743347893271[/C][C]4.28261057080973[/C][/ROW]
[ROW][C]0.43[/C][C]73.8114707653403[/C][C]4.35834820505522[/C][/ROW]
[ROW][C]0.44[/C][C]74.5612759037238[/C][C]4.42696143259603[/C][/ROW]
[ROW][C]0.45[/C][C]75.3232695372673[/C][C]4.49564030727341[/C][/ROW]
[ROW][C]0.46[/C][C]76.0981145395627[/C][C]4.57182826972168[/C][/ROW]
[ROW][C]0.47[/C][C]76.8875837849474[/C][C]4.66241772387957[/C][/ROW]
[ROW][C]0.48[/C][C]77.6944268487867[/C][C]4.77294372673136[/C][/ROW]
[ROW][C]0.49[/C][C]78.5221498546929[/C][C]4.90724408642468[/C][/ROW]
[ROW][C]0.5[/C][C]79.3747232871209[/C][C]5.06725084286289[/C][/ROW]
[ROW][C]0.51[/C][C]80.2562336649861[/C][C]5.25260622966223[/C][/ROW]
[ROW][C]0.52[/C][C]81.1704966992992[/C][C]5.46015126104359[/C][/ROW]
[ROW][C]0.53[/C][C]82.1206529981711[/C][C]5.68454607203521[/C][/ROW]
[ROW][C]0.54[/C][C]83.108772734433[/C][C]5.91763602426993[/C][/ROW]
[ROW][C]0.55[/C][C]84.1355020217449[/C][C]6.1494858826171[/C][/ROW]
[ROW][C]0.56[/C][C]85.1997890148434[/C][C]6.36826266476371[/C][/ROW]
[ROW][C]0.57[/C][C]86.29872920457[/C][C]6.56152388357323[/C][/ROW]
[ROW][C]0.58[/C][C]87.4275642978668[/C][C]6.71715201287476[/C][/ROW]
[ROW][C]0.59[/C][C]88.5798557338377[/C][C]6.82463555494339[/C][/ROW]
[ROW][C]0.6[/C][C]89.7478324831969[/C][C]6.87615731518346[/C][/ROW]
[ROW][C]0.61[/C][C]90.9228859696791[/C][C]6.86772375026897[/C][/ROW]
[ROW][C]0.62[/C][C]92.0961577527524[/C][C]6.79974532610637[/C][/ROW]
[ROW][C]0.63[/C][C]93.2591444877523[/C][C]6.67708852755475[/C][/ROW]
[ROW][C]0.64[/C][C]94.4042359675923[/C][C]6.50813634078591[/C][/ROW]
[ROW][C]0.65[/C][C]95.5251100596669[/C][C]6.30380314894531[/C][/ROW]
[ROW][C]0.66[/C][C]96.616933713559[/C][C]6.07594299327786[/C][/ROW]
[ROW][C]0.67[/C][C]97.6763580407774[/C][C]5.83532709193254[/C][/ROW]
[ROW][C]0.68[/C][C]98.7013397229414[/C][C]5.59050242660929[/C][/ROW]
[ROW][C]0.69[/C][C]99.6908601689943[/C][C]5.34670532741505[/C][/ROW]
[ROW][C]0.7[/C][C]100.644637511487[/C][C]5.10633643920584[/C][/ROW]
[ROW][C]0.71[/C][C]101.562927282085[/C][C]4.8692650919607[/C][/ROW]
[ROW][C]0.72[/C][C]102.446483269609[/C][C]4.63542893137695[/C][/ROW]
[ROW][C]0.73[/C][C]103.296704694157[/C][C]4.40578832435306[/C][/ROW]
[ROW][C]0.74[/C][C]104.115939002682[/C][C]4.18394096949341[/C][/ROW]
[ROW][C]0.75[/C][C]104.90785421037[/C][C]3.97698335179032[/C][/ROW]
[ROW][C]0.76[/C][C]105.677754006099[/C][C]3.79493866155305[/C][/ROW]
[ROW][C]0.77[/C][C]106.432693455488[/C][C]3.64916364775591[/C][/ROW]
[ROW][C]0.78[/C][C]107.18126914082[/C][C]3.55036041210396[/C][/ROW]
[ROW][C]0.79[/C][C]107.933005705185[/C][C]3.50458520239299[/C][/ROW]
[ROW][C]0.8[/C][C]108.697336576198[/C][C]3.51096791049074[/C][/ROW]
[ROW][C]0.81[/C][C]109.482270827314[/C][C]3.55944542738563[/C][/ROW]
[ROW][C]0.82[/C][C]110.292936274764[/C][C]3.63123846169926[/C][/ROW]
[ROW][C]0.83[/C][C]111.130270746875[/C][C]3.70123402984576[/C][/ROW]
[ROW][C]0.84[/C][C]111.990173104213[/C][C]3.74147797527266[/C][/ROW]
[ROW][C]0.85[/C][C]112.863395234063[/C][C]3.72628608318576[/C][/ROW]
[ROW][C]0.86[/C][C]113.736335922811[/C][C]3.63672541613272[/C][/ROW]
[ROW][C]0.87[/C][C]114.592690669033[/C][C]3.46453817125115[/C][/ROW]
[ROW][C]0.88[/C][C]115.415660838468[/C][C]3.2142897356057[/C][/ROW]
[ROW][C]0.89[/C][C]116.190217193979[/C][C]2.90278259421593[/C][/ROW]
[ROW][C]0.9[/C][C]116.904854381334[/C][C]2.55495939635352[/C][/ROW]
[ROW][C]0.91[/C][C]117.552439386255[/C][C]2.19734072712336[/C][/ROW]
[ROW][C]0.92[/C][C]118.130120635237[/C][C]1.85136689617005[/C][/ROW]
[ROW][C]0.93[/C][C]118.638655115388[/C][C]1.5295127611903[/C][/ROW]
[ROW][C]0.94[/C][C]119.081663159333[/C][C]1.23705074294602[/C][/ROW]
[ROW][C]0.95[/C][C]119.465025075179[/C][C]0.977464801517861[/C][/ROW]
[ROW][C]0.96[/C][C]119.795927712186[/C][C]0.756039923974698[/C][/ROW]
[ROW][C]0.97[/C][C]120.080379468267[/C][C]0.576320102983509[/C][/ROW]
[ROW][C]0.98[/C][C]120.318308125644[/C][C]0.436262068901945[/C][/ROW]
[ROW][C]0.99[/C][C]120.498257089923[/C][C]0.339005260055935[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115428&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115428&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
0.0141.32313554671021.51929152766175
0.0241.98558239037241.45033342580166
0.0342.763908903931.65736550074823
0.0443.6106461073092.10581674691396
0.0544.53015473719412.6290109519395
0.0645.53167890806153.09721277377318
0.0746.60828752293973.45761397964872
0.0847.74010962134373.72221054146544
0.0948.90537847494623.93545830944741
0.150.087969358594.13779319574495
0.1151.27849876234054.34223390865581
0.1252.47106396730574.53235991342485
0.1353.65898960213174.67555760450362
0.1454.83206034021514.73891490372507
0.1555.976167363694.70163773968196
0.1657.07501062447934.56027871368016
0.1758.11283475905794.32843700481143
0.1859.07710368485114.03209234351126
0.1959.9603282382083.70335293745795
0.260.76071492450143.37383585419123
0.2161.48171667380593.06948057411366
0.2262.13083381460252.80768053001999
0.2362.71810745981932.59655019841786
0.2463.25469667727582.43696566703022
0.2563.75179348984212.32542376692315
0.2664.21996885854592.25716142076762
0.2764.66890771700292.22887098681998
0.2865.10740890253642.23896673360131
0.2965.54350128626712.28695694396692
0.365.98454912774632.37263147223207
0.3166.43726828197092.49416724123832
0.3266.90763046705732.64746304317991
0.3367.40067990540482.82639110693387
0.3467.92031638834443.02265004506776
0.3568.46910870055363.22687509178785
0.3669.04819480689953.42953840294311
0.3769.65730562383873.62228061525711
0.3870.29492401571073.79824691639066
0.3970.95856591713943.95280356922302
0.471.64515083874794.08407525129727
0.4172.35141720936774.19290742334466
0.4273.07433478932714.28261057080973
0.4373.81147076534034.35834820505522
0.4474.56127590372384.42696143259603
0.4575.32326953726734.49564030727341
0.4676.09811453956274.57182826972168
0.4776.88758378494744.66241772387957
0.4877.69442684878674.77294372673136
0.4978.52214985469294.90724408642468
0.579.37472328712095.06725084286289
0.5180.25623366498615.25260622966223
0.5281.17049669929925.46015126104359
0.5382.12065299817115.68454607203521
0.5483.1087727344335.91763602426993
0.5584.13550202174496.1494858826171
0.5685.19978901484346.36826266476371
0.5786.298729204576.56152388357323
0.5887.42756429786686.71715201287476
0.5988.57985573383776.82463555494339
0.689.74783248319696.87615731518346
0.6190.92288596967916.86772375026897
0.6292.09615775275246.79974532610637
0.6393.25914448775236.67708852755475
0.6494.40423596759236.50813634078591
0.6595.52511005966696.30380314894531
0.6696.6169337135596.07594299327786
0.6797.67635804077745.83532709193254
0.6898.70133972294145.59050242660929
0.6999.69086016899435.34670532741505
0.7100.6446375114875.10633643920584
0.71101.5629272820854.8692650919607
0.72102.4464832696094.63542893137695
0.73103.2967046941574.40578832435306
0.74104.1159390026824.18394096949341
0.75104.907854210373.97698335179032
0.76105.6777540060993.79493866155305
0.77106.4326934554883.64916364775591
0.78107.181269140823.55036041210396
0.79107.9330057051853.50458520239299
0.8108.6973365761983.51096791049074
0.81109.4822708273143.55944542738563
0.82110.2929362747643.63123846169926
0.83111.1302707468753.70123402984576
0.84111.9901731042133.74147797527266
0.85112.8633952340633.72628608318576
0.86113.7363359228113.63672541613272
0.87114.5926906690333.46453817125115
0.88115.4156608384683.2142897356057
0.89116.1902171939792.90278259421593
0.9116.9048543813342.55495939635352
0.91117.5524393862552.19734072712336
0.92118.1301206352371.85136689617005
0.93118.6386551153881.5295127611903
0.94119.0816631593331.23705074294602
0.95119.4650250751790.977464801517861
0.96119.7959277121860.756039923974698
0.97120.0803794682670.576320102983509
0.98120.3183081256440.436262068901945
0.99120.4982570899230.339005260055935


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')