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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, 09 Mar 2010 12:21:14 -0700
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/Mar/09/t1268162699lk85ywz2j7p10p3.htm/, Retrieved Thu, 18 Apr 2024 23:27:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74228, Retrieved Thu, 18 Apr 2024 23:27:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact154

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] [] [2010-03-09 19:21:14] [ac302f869d0778eba7cafda3b14e71eb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
127.87
127.94
122.44
120.25
118.13
114.93
112.57
110.81
109.02
106.39
103.75
102.60
101.63
100.00
97.98
96.56
94.32
91.79
89.61
86.83
83.94
81.41
80.47
79.24
78.23
74.60
70.14
65.15
59.92
55.67
52.20
49.97
47.83
44.66
40.91
36.28
32.20
30.10
28.55
27.36
26.33
25.38
24.69
24.01
23.05
22.15
21.26
20.81
20.52
20.32
20.26
20.02
19.76
19.15
18.63
18.73
18.48
18.53
18.37
16.80
16.94
17.21
15.26
14.99
15.80
4.71
4.65
4.50

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74228&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74228&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74228&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.779201949703560.914877671776678
0.025.531944017759632.40591419092079
0.036.824885011374233.89683625389436
0.048.525627380948574.73889120563478
0.0510.37560596886684.73866639696027
0.0612.11824883464434.12180626346817
0.0713.59059672123913.26355551715854
0.0814.74292394021022.46347068358423
0.0915.60689910279821.86528413643785
0.116.24985468948851.48165969073213
0.1116.74035618561751.25650247544475
0.1217.13180360157131.12299722260026
0.1317.45965583774531.03415539386432
0.1417.74524819697440.96617576171186
0.1518.0010448649810.910922726806608
0.1618.23485754835350.868546746069397
0.1718.45243053503600.841737937632874
0.1818.65866926716680.83243122733037
0.1918.85802836638520.840143412012701
0.219.05452114386710.86251825529957
0.2119.25166397944460.896775591802396
0.2219.45251341005060.941232635766561
0.2319.65982759742360.996155624222575
0.2419.87630276971041.06372775615380
0.2520.10480291004631.14722327094824
0.2620.34851033049931.25002146446487
0.2720.61096069327221.37453250695555
0.2820.89597035555331.52174876911026
0.2921.20750068880471.69133795769315
0.321.54952311467281.88204499468828
0.3121.92594678648262.09269772282779
0.3222.34065092911622.32314819715655
0.3322.79763260006462.57482924822856
0.3423.30124643857172.85131308476335
0.3523.85648380204693.15835451864466
0.3624.46922068942733.50306209096778
0.3725.146360562773.89305523511078
0.3825.89581032660954.33493826704325
0.3926.72625337355864.83274392187240
0.427.64671854768065.3867596351927
0.4128.66598219656375.99260029002372
0.4229.79187528663366.64108279508569
0.4331.03059193073547.31879949942426
0.4432.38610385513828.0092550498561
0.4533.85977396049928.69446400754429
0.4635.45023138108619.35719323434134
0.4737.15352463170039.98244639002945
0.4838.96351677760310.5589727290292
0.4940.872437954790211.0801257437040
0.542.871477366197411.5436177765408
0.5144.951288208848711.9501566282359
0.5247.10229916436112.3020270361483
0.5349.314772923380312.6005025416372
0.5451.578616801262212.8442124314914
0.5553.88301870376913.0281955354187
0.5656.216037178261713.1435223814255
0.5758.564302368016913.1789692753614
0.5860.912976166789713.1232846450478
0.5963.246073719145612.9678366635013
0.665.547172649644712.7097668978061
0.6167.800446773657712.3536982395548
0.6269.991877681923911.9126604783347
0.6372.11044041142711.4077457004934
0.6474.149043268406310.8660078578987
0.6576.105032701583910.3171271469207
0.6677.98014714825599.78967062787846
0.6779.77990424280649.30690059157258
0.6881.51251227529758.88377808991888
0.6983.1874863287068.52455074318638
0.784.81420311552948.22356779405628
0.7186.40063573854497.96694597935262
0.7287.95247077371947.73670124431755
0.7389.47273564831737.51430510038399
0.7490.9619713385187.2843390152495
0.7592.4188926648177.03725884359864
0.7693.84140149118826.77010073326961
0.7795.22776644912836.48706150830951
0.7896.57775986841386.19808925517072
0.7997.89354839908285.91738113532171
0.899.18016829679365.66097687749425
0.81100.4454809195015.44344738278937
0.82101.6995988101415.2749236390764
0.83102.9538897109545.1582203654661
0.84104.2197808276465.08790050386498
0.85105.5076571754705.05129409189595
0.86106.8261302882315.03245893774652
0.87108.1818275309585.01663220615391
0.88109.5796616722844.99369679059955
0.89111.0234074956204.95827915439603
0.9112.5164846355844.90750876977845
0.91114.0631342485374.83775713850973
0.92115.6703066067324.74575533665822
0.93117.3496559715954.63688216044127
0.94119.1161626312444.53242771895519
0.95120.9759293498854.45106766034921
0.96122.8959089081004.33322753482219
0.97124.7621323600123.95133146488648
0.98126.3633293083092.99037615765231
0.99127.4582864786491.44686884719124

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.77920194970356 & 0.914877671776678 \tabularnewline
0.02 & 5.53194401775963 & 2.40591419092079 \tabularnewline
0.03 & 6.82488501137423 & 3.89683625389436 \tabularnewline
0.04 & 8.52562738094857 & 4.73889120563478 \tabularnewline
0.05 & 10.3756059688668 & 4.73866639696027 \tabularnewline
0.06 & 12.1182488346443 & 4.12180626346817 \tabularnewline
0.07 & 13.5905967212391 & 3.26355551715854 \tabularnewline
0.08 & 14.7429239402102 & 2.46347068358423 \tabularnewline
0.09 & 15.6068991027982 & 1.86528413643785 \tabularnewline
0.1 & 16.2498546894885 & 1.48165969073213 \tabularnewline
0.11 & 16.7403561856175 & 1.25650247544475 \tabularnewline
0.12 & 17.1318036015713 & 1.12299722260026 \tabularnewline
0.13 & 17.4596558377453 & 1.03415539386432 \tabularnewline
0.14 & 17.7452481969744 & 0.96617576171186 \tabularnewline
0.15 & 18.001044864981 & 0.910922726806608 \tabularnewline
0.16 & 18.2348575483535 & 0.868546746069397 \tabularnewline
0.17 & 18.4524305350360 & 0.841737937632874 \tabularnewline
0.18 & 18.6586692671668 & 0.83243122733037 \tabularnewline
0.19 & 18.8580283663852 & 0.840143412012701 \tabularnewline
0.2 & 19.0545211438671 & 0.86251825529957 \tabularnewline
0.21 & 19.2516639794446 & 0.896775591802396 \tabularnewline
0.22 & 19.4525134100506 & 0.941232635766561 \tabularnewline
0.23 & 19.6598275974236 & 0.996155624222575 \tabularnewline
0.24 & 19.8763027697104 & 1.06372775615380 \tabularnewline
0.25 & 20.1048029100463 & 1.14722327094824 \tabularnewline
0.26 & 20.3485103304993 & 1.25002146446487 \tabularnewline
0.27 & 20.6109606932722 & 1.37453250695555 \tabularnewline
0.28 & 20.8959703555533 & 1.52174876911026 \tabularnewline
0.29 & 21.2075006888047 & 1.69133795769315 \tabularnewline
0.3 & 21.5495231146728 & 1.88204499468828 \tabularnewline
0.31 & 21.9259467864826 & 2.09269772282779 \tabularnewline
0.32 & 22.3406509291162 & 2.32314819715655 \tabularnewline
0.33 & 22.7976326000646 & 2.57482924822856 \tabularnewline
0.34 & 23.3012464385717 & 2.85131308476335 \tabularnewline
0.35 & 23.8564838020469 & 3.15835451864466 \tabularnewline
0.36 & 24.4692206894273 & 3.50306209096778 \tabularnewline
0.37 & 25.14636056277 & 3.89305523511078 \tabularnewline
0.38 & 25.8958103266095 & 4.33493826704325 \tabularnewline
0.39 & 26.7262533735586 & 4.83274392187240 \tabularnewline
0.4 & 27.6467185476806 & 5.3867596351927 \tabularnewline
0.41 & 28.6659821965637 & 5.99260029002372 \tabularnewline
0.42 & 29.7918752866336 & 6.64108279508569 \tabularnewline
0.43 & 31.0305919307354 & 7.31879949942426 \tabularnewline
0.44 & 32.3861038551382 & 8.0092550498561 \tabularnewline
0.45 & 33.8597739604992 & 8.69446400754429 \tabularnewline
0.46 & 35.4502313810861 & 9.35719323434134 \tabularnewline
0.47 & 37.1535246317003 & 9.98244639002945 \tabularnewline
0.48 & 38.963516777603 & 10.5589727290292 \tabularnewline
0.49 & 40.8724379547902 & 11.0801257437040 \tabularnewline
0.5 & 42.8714773661974 & 11.5436177765408 \tabularnewline
0.51 & 44.9512882088487 & 11.9501566282359 \tabularnewline
0.52 & 47.102299164361 & 12.3020270361483 \tabularnewline
0.53 & 49.3147729233803 & 12.6005025416372 \tabularnewline
0.54 & 51.5786168012622 & 12.8442124314914 \tabularnewline
0.55 & 53.883018703769 & 13.0281955354187 \tabularnewline
0.56 & 56.2160371782617 & 13.1435223814255 \tabularnewline
0.57 & 58.5643023680169 & 13.1789692753614 \tabularnewline
0.58 & 60.9129761667897 & 13.1232846450478 \tabularnewline
0.59 & 63.2460737191456 & 12.9678366635013 \tabularnewline
0.6 & 65.5471726496447 & 12.7097668978061 \tabularnewline
0.61 & 67.8004467736577 & 12.3536982395548 \tabularnewline
0.62 & 69.9918776819239 & 11.9126604783347 \tabularnewline
0.63 & 72.110440411427 & 11.4077457004934 \tabularnewline
0.64 & 74.1490432684063 & 10.8660078578987 \tabularnewline
0.65 & 76.1050327015839 & 10.3171271469207 \tabularnewline
0.66 & 77.9801471482559 & 9.78967062787846 \tabularnewline
0.67 & 79.7799042428064 & 9.30690059157258 \tabularnewline
0.68 & 81.5125122752975 & 8.88377808991888 \tabularnewline
0.69 & 83.187486328706 & 8.52455074318638 \tabularnewline
0.7 & 84.8142031155294 & 8.22356779405628 \tabularnewline
0.71 & 86.4006357385449 & 7.96694597935262 \tabularnewline
0.72 & 87.9524707737194 & 7.73670124431755 \tabularnewline
0.73 & 89.4727356483173 & 7.51430510038399 \tabularnewline
0.74 & 90.961971338518 & 7.2843390152495 \tabularnewline
0.75 & 92.418892664817 & 7.03725884359864 \tabularnewline
0.76 & 93.8414014911882 & 6.77010073326961 \tabularnewline
0.77 & 95.2277664491283 & 6.48706150830951 \tabularnewline
0.78 & 96.5777598684138 & 6.19808925517072 \tabularnewline
0.79 & 97.8935483990828 & 5.91738113532171 \tabularnewline
0.8 & 99.1801682967936 & 5.66097687749425 \tabularnewline
0.81 & 100.445480919501 & 5.44344738278937 \tabularnewline
0.82 & 101.699598810141 & 5.2749236390764 \tabularnewline
0.83 & 102.953889710954 & 5.1582203654661 \tabularnewline
0.84 & 104.219780827646 & 5.08790050386498 \tabularnewline
0.85 & 105.507657175470 & 5.05129409189595 \tabularnewline
0.86 & 106.826130288231 & 5.03245893774652 \tabularnewline
0.87 & 108.181827530958 & 5.01663220615391 \tabularnewline
0.88 & 109.579661672284 & 4.99369679059955 \tabularnewline
0.89 & 111.023407495620 & 4.95827915439603 \tabularnewline
0.9 & 112.516484635584 & 4.90750876977845 \tabularnewline
0.91 & 114.063134248537 & 4.83775713850973 \tabularnewline
0.92 & 115.670306606732 & 4.74575533665822 \tabularnewline
0.93 & 117.349655971595 & 4.63688216044127 \tabularnewline
0.94 & 119.116162631244 & 4.53242771895519 \tabularnewline
0.95 & 120.975929349885 & 4.45106766034921 \tabularnewline
0.96 & 122.895908908100 & 4.33322753482219 \tabularnewline
0.97 & 124.762132360012 & 3.95133146488648 \tabularnewline
0.98 & 126.363329308309 & 2.99037615765231 \tabularnewline
0.99 & 127.458286478649 & 1.44686884719124 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74228&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]4.77920194970356[/C][C]0.914877671776678[/C][/ROW]
[ROW][C]0.02[/C][C]5.53194401775963[/C][C]2.40591419092079[/C][/ROW]
[ROW][C]0.03[/C][C]6.82488501137423[/C][C]3.89683625389436[/C][/ROW]
[ROW][C]0.04[/C][C]8.52562738094857[/C][C]4.73889120563478[/C][/ROW]
[ROW][C]0.05[/C][C]10.3756059688668[/C][C]4.73866639696027[/C][/ROW]
[ROW][C]0.06[/C][C]12.1182488346443[/C][C]4.12180626346817[/C][/ROW]
[ROW][C]0.07[/C][C]13.5905967212391[/C][C]3.26355551715854[/C][/ROW]
[ROW][C]0.08[/C][C]14.7429239402102[/C][C]2.46347068358423[/C][/ROW]
[ROW][C]0.09[/C][C]15.6068991027982[/C][C]1.86528413643785[/C][/ROW]
[ROW][C]0.1[/C][C]16.2498546894885[/C][C]1.48165969073213[/C][/ROW]
[ROW][C]0.11[/C][C]16.7403561856175[/C][C]1.25650247544475[/C][/ROW]
[ROW][C]0.12[/C][C]17.1318036015713[/C][C]1.12299722260026[/C][/ROW]
[ROW][C]0.13[/C][C]17.4596558377453[/C][C]1.03415539386432[/C][/ROW]
[ROW][C]0.14[/C][C]17.7452481969744[/C][C]0.96617576171186[/C][/ROW]
[ROW][C]0.15[/C][C]18.001044864981[/C][C]0.910922726806608[/C][/ROW]
[ROW][C]0.16[/C][C]18.2348575483535[/C][C]0.868546746069397[/C][/ROW]
[ROW][C]0.17[/C][C]18.4524305350360[/C][C]0.841737937632874[/C][/ROW]
[ROW][C]0.18[/C][C]18.6586692671668[/C][C]0.83243122733037[/C][/ROW]
[ROW][C]0.19[/C][C]18.8580283663852[/C][C]0.840143412012701[/C][/ROW]
[ROW][C]0.2[/C][C]19.0545211438671[/C][C]0.86251825529957[/C][/ROW]
[ROW][C]0.21[/C][C]19.2516639794446[/C][C]0.896775591802396[/C][/ROW]
[ROW][C]0.22[/C][C]19.4525134100506[/C][C]0.941232635766561[/C][/ROW]
[ROW][C]0.23[/C][C]19.6598275974236[/C][C]0.996155624222575[/C][/ROW]
[ROW][C]0.24[/C][C]19.8763027697104[/C][C]1.06372775615380[/C][/ROW]
[ROW][C]0.25[/C][C]20.1048029100463[/C][C]1.14722327094824[/C][/ROW]
[ROW][C]0.26[/C][C]20.3485103304993[/C][C]1.25002146446487[/C][/ROW]
[ROW][C]0.27[/C][C]20.6109606932722[/C][C]1.37453250695555[/C][/ROW]
[ROW][C]0.28[/C][C]20.8959703555533[/C][C]1.52174876911026[/C][/ROW]
[ROW][C]0.29[/C][C]21.2075006888047[/C][C]1.69133795769315[/C][/ROW]
[ROW][C]0.3[/C][C]21.5495231146728[/C][C]1.88204499468828[/C][/ROW]
[ROW][C]0.31[/C][C]21.9259467864826[/C][C]2.09269772282779[/C][/ROW]
[ROW][C]0.32[/C][C]22.3406509291162[/C][C]2.32314819715655[/C][/ROW]
[ROW][C]0.33[/C][C]22.7976326000646[/C][C]2.57482924822856[/C][/ROW]
[ROW][C]0.34[/C][C]23.3012464385717[/C][C]2.85131308476335[/C][/ROW]
[ROW][C]0.35[/C][C]23.8564838020469[/C][C]3.15835451864466[/C][/ROW]
[ROW][C]0.36[/C][C]24.4692206894273[/C][C]3.50306209096778[/C][/ROW]
[ROW][C]0.37[/C][C]25.14636056277[/C][C]3.89305523511078[/C][/ROW]
[ROW][C]0.38[/C][C]25.8958103266095[/C][C]4.33493826704325[/C][/ROW]
[ROW][C]0.39[/C][C]26.7262533735586[/C][C]4.83274392187240[/C][/ROW]
[ROW][C]0.4[/C][C]27.6467185476806[/C][C]5.3867596351927[/C][/ROW]
[ROW][C]0.41[/C][C]28.6659821965637[/C][C]5.99260029002372[/C][/ROW]
[ROW][C]0.42[/C][C]29.7918752866336[/C][C]6.64108279508569[/C][/ROW]
[ROW][C]0.43[/C][C]31.0305919307354[/C][C]7.31879949942426[/C][/ROW]
[ROW][C]0.44[/C][C]32.3861038551382[/C][C]8.0092550498561[/C][/ROW]
[ROW][C]0.45[/C][C]33.8597739604992[/C][C]8.69446400754429[/C][/ROW]
[ROW][C]0.46[/C][C]35.4502313810861[/C][C]9.35719323434134[/C][/ROW]
[ROW][C]0.47[/C][C]37.1535246317003[/C][C]9.98244639002945[/C][/ROW]
[ROW][C]0.48[/C][C]38.963516777603[/C][C]10.5589727290292[/C][/ROW]
[ROW][C]0.49[/C][C]40.8724379547902[/C][C]11.0801257437040[/C][/ROW]
[ROW][C]0.5[/C][C]42.8714773661974[/C][C]11.5436177765408[/C][/ROW]
[ROW][C]0.51[/C][C]44.9512882088487[/C][C]11.9501566282359[/C][/ROW]
[ROW][C]0.52[/C][C]47.102299164361[/C][C]12.3020270361483[/C][/ROW]
[ROW][C]0.53[/C][C]49.3147729233803[/C][C]12.6005025416372[/C][/ROW]
[ROW][C]0.54[/C][C]51.5786168012622[/C][C]12.8442124314914[/C][/ROW]
[ROW][C]0.55[/C][C]53.883018703769[/C][C]13.0281955354187[/C][/ROW]
[ROW][C]0.56[/C][C]56.2160371782617[/C][C]13.1435223814255[/C][/ROW]
[ROW][C]0.57[/C][C]58.5643023680169[/C][C]13.1789692753614[/C][/ROW]
[ROW][C]0.58[/C][C]60.9129761667897[/C][C]13.1232846450478[/C][/ROW]
[ROW][C]0.59[/C][C]63.2460737191456[/C][C]12.9678366635013[/C][/ROW]
[ROW][C]0.6[/C][C]65.5471726496447[/C][C]12.7097668978061[/C][/ROW]
[ROW][C]0.61[/C][C]67.8004467736577[/C][C]12.3536982395548[/C][/ROW]
[ROW][C]0.62[/C][C]69.9918776819239[/C][C]11.9126604783347[/C][/ROW]
[ROW][C]0.63[/C][C]72.110440411427[/C][C]11.4077457004934[/C][/ROW]
[ROW][C]0.64[/C][C]74.1490432684063[/C][C]10.8660078578987[/C][/ROW]
[ROW][C]0.65[/C][C]76.1050327015839[/C][C]10.3171271469207[/C][/ROW]
[ROW][C]0.66[/C][C]77.9801471482559[/C][C]9.78967062787846[/C][/ROW]
[ROW][C]0.67[/C][C]79.7799042428064[/C][C]9.30690059157258[/C][/ROW]
[ROW][C]0.68[/C][C]81.5125122752975[/C][C]8.88377808991888[/C][/ROW]
[ROW][C]0.69[/C][C]83.187486328706[/C][C]8.52455074318638[/C][/ROW]
[ROW][C]0.7[/C][C]84.8142031155294[/C][C]8.22356779405628[/C][/ROW]
[ROW][C]0.71[/C][C]86.4006357385449[/C][C]7.96694597935262[/C][/ROW]
[ROW][C]0.72[/C][C]87.9524707737194[/C][C]7.73670124431755[/C][/ROW]
[ROW][C]0.73[/C][C]89.4727356483173[/C][C]7.51430510038399[/C][/ROW]
[ROW][C]0.74[/C][C]90.961971338518[/C][C]7.2843390152495[/C][/ROW]
[ROW][C]0.75[/C][C]92.418892664817[/C][C]7.03725884359864[/C][/ROW]
[ROW][C]0.76[/C][C]93.8414014911882[/C][C]6.77010073326961[/C][/ROW]
[ROW][C]0.77[/C][C]95.2277664491283[/C][C]6.48706150830951[/C][/ROW]
[ROW][C]0.78[/C][C]96.5777598684138[/C][C]6.19808925517072[/C][/ROW]
[ROW][C]0.79[/C][C]97.8935483990828[/C][C]5.91738113532171[/C][/ROW]
[ROW][C]0.8[/C][C]99.1801682967936[/C][C]5.66097687749425[/C][/ROW]
[ROW][C]0.81[/C][C]100.445480919501[/C][C]5.44344738278937[/C][/ROW]
[ROW][C]0.82[/C][C]101.699598810141[/C][C]5.2749236390764[/C][/ROW]
[ROW][C]0.83[/C][C]102.953889710954[/C][C]5.1582203654661[/C][/ROW]
[ROW][C]0.84[/C][C]104.219780827646[/C][C]5.08790050386498[/C][/ROW]
[ROW][C]0.85[/C][C]105.507657175470[/C][C]5.05129409189595[/C][/ROW]
[ROW][C]0.86[/C][C]106.826130288231[/C][C]5.03245893774652[/C][/ROW]
[ROW][C]0.87[/C][C]108.181827530958[/C][C]5.01663220615391[/C][/ROW]
[ROW][C]0.88[/C][C]109.579661672284[/C][C]4.99369679059955[/C][/ROW]
[ROW][C]0.89[/C][C]111.023407495620[/C][C]4.95827915439603[/C][/ROW]
[ROW][C]0.9[/C][C]112.516484635584[/C][C]4.90750876977845[/C][/ROW]
[ROW][C]0.91[/C][C]114.063134248537[/C][C]4.83775713850973[/C][/ROW]
[ROW][C]0.92[/C][C]115.670306606732[/C][C]4.74575533665822[/C][/ROW]
[ROW][C]0.93[/C][C]117.349655971595[/C][C]4.63688216044127[/C][/ROW]
[ROW][C]0.94[/C][C]119.116162631244[/C][C]4.53242771895519[/C][/ROW]
[ROW][C]0.95[/C][C]120.975929349885[/C][C]4.45106766034921[/C][/ROW]
[ROW][C]0.96[/C][C]122.895908908100[/C][C]4.33322753482219[/C][/ROW]
[ROW][C]0.97[/C][C]124.762132360012[/C][C]3.95133146488648[/C][/ROW]
[ROW][C]0.98[/C][C]126.363329308309[/C][C]2.99037615765231[/C][/ROW]
[ROW][C]0.99[/C][C]127.458286478649[/C][C]1.44686884719124[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74228&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74228&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
0.014.779201949703560.914877671776678
0.025.531944017759632.40591419092079
0.036.824885011374233.89683625389436
0.048.525627380948574.73889120563478
0.0510.37560596886684.73866639696027
0.0612.11824883464434.12180626346817
0.0713.59059672123913.26355551715854
0.0814.74292394021022.46347068358423
0.0915.60689910279821.86528413643785
0.116.24985468948851.48165969073213
0.1116.74035618561751.25650247544475
0.1217.13180360157131.12299722260026
0.1317.45965583774531.03415539386432
0.1417.74524819697440.96617576171186
0.1518.0010448649810.910922726806608
0.1618.23485754835350.868546746069397
0.1718.45243053503600.841737937632874
0.1818.65866926716680.83243122733037
0.1918.85802836638520.840143412012701
0.219.05452114386710.86251825529957
0.2119.25166397944460.896775591802396
0.2219.45251341005060.941232635766561
0.2319.65982759742360.996155624222575
0.2419.87630276971041.06372775615380
0.2520.10480291004631.14722327094824
0.2620.34851033049931.25002146446487
0.2720.61096069327221.37453250695555
0.2820.89597035555331.52174876911026
0.2921.20750068880471.69133795769315
0.321.54952311467281.88204499468828
0.3121.92594678648262.09269772282779
0.3222.34065092911622.32314819715655
0.3322.79763260006462.57482924822856
0.3423.30124643857172.85131308476335
0.3523.85648380204693.15835451864466
0.3624.46922068942733.50306209096778
0.3725.146360562773.89305523511078
0.3825.89581032660954.33493826704325
0.3926.72625337355864.83274392187240
0.427.64671854768065.3867596351927
0.4128.66598219656375.99260029002372
0.4229.79187528663366.64108279508569
0.4331.03059193073547.31879949942426
0.4432.38610385513828.0092550498561
0.4533.85977396049928.69446400754429
0.4635.45023138108619.35719323434134
0.4737.15352463170039.98244639002945
0.4838.96351677760310.5589727290292
0.4940.872437954790211.0801257437040
0.542.871477366197411.5436177765408
0.5144.951288208848711.9501566282359
0.5247.10229916436112.3020270361483
0.5349.314772923380312.6005025416372
0.5451.578616801262212.8442124314914
0.5553.88301870376913.0281955354187
0.5656.216037178261713.1435223814255
0.5758.564302368016913.1789692753614
0.5860.912976166789713.1232846450478
0.5963.246073719145612.9678366635013
0.665.547172649644712.7097668978061
0.6167.800446773657712.3536982395548
0.6269.991877681923911.9126604783347
0.6372.11044041142711.4077457004934
0.6474.149043268406310.8660078578987
0.6576.105032701583910.3171271469207
0.6677.98014714825599.78967062787846
0.6779.77990424280649.30690059157258
0.6881.51251227529758.88377808991888
0.6983.1874863287068.52455074318638
0.784.81420311552948.22356779405628
0.7186.40063573854497.96694597935262
0.7287.95247077371947.73670124431755
0.7389.47273564831737.51430510038399
0.7490.9619713385187.2843390152495
0.7592.4188926648177.03725884359864
0.7693.84140149118826.77010073326961
0.7795.22776644912836.48706150830951
0.7896.57775986841386.19808925517072
0.7997.89354839908285.91738113532171
0.899.18016829679365.66097687749425
0.81100.4454809195015.44344738278937
0.82101.6995988101415.2749236390764
0.83102.9538897109545.1582203654661
0.84104.2197808276465.08790050386498
0.85105.5076571754705.05129409189595
0.86106.8261302882315.03245893774652
0.87108.1818275309585.01663220615391
0.88109.5796616722844.99369679059955
0.89111.0234074956204.95827915439603
0.9112.5164846355844.90750876977845
0.91114.0631342485374.83775713850973
0.92115.6703066067324.74575533665822
0.93117.3496559715954.63688216044127
0.94119.1161626312444.53242771895519
0.95120.9759293498854.45106766034921
0.96122.8959089081004.33322753482219
0.97124.7621323600123.95133146488648
0.98126.3633293083092.99037615765231
0.99127.4582864786491.44686884719124


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')