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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 11 Oct 2011 10:17:08 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/11/t1318342750pkapy7h3mj6z1qx.htm/, Retrieved Sun, 12 May 2024 03:35:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128056, Retrieved Sun, 12 May 2024 03:35:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact71

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] [Gemiddelde consum...] [2011-10-11 14:17:08] [53570eb7f05113140c3a155d32e971f0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.26
9.27
9.29
9.27
9.29
9.31
9.33
9.35
9.34
9.35
9.38
9.43
9.47
9.5
9.55
9.58
9.61
9.57
9.61
9.65
9.62
9.63
9.62
9.63
9.65
9.72
9.75
9.77
9.78
9.82
9.84
9.9
9.94
9.96
10.03
10.03
10.12
10.12
10.05
10.14
10.17
10.2
10.2
10.35
10.43
10.52
10.57
10.57
10.57
10.65
10.57
10.61
10.63
10.71
10.72
10.77
10.79
10.82
10.9
10.83
10.92
10.91
10.88
10.87
11
10.99
11.03
11.04
10.99
10.9
11
10.99
10.92
10.98
11.15
11.19
11.33
11.38
11.4
11.45
11.56
11.61
11.82
11.77
11.85
11.82
11.92
11.86
11.87
11.94
11.86
11.92
11.83
11.91
11.93
11.99
11.96
12.12
11.85
12.01
12.1
12.21
12.31
12.31
12.39
12.35
12.41
12.51
12.27
12.51
12.44
12.47
12.51
12.58
12.5
12.52
12.59
12.51
12.67
12.64
12.54
12.6
12.67
12.62
12.72
12.85
12.85
12.82
12.79
12.94
12.71
12.56

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=128056&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=128056&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128056&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
0.019.267124598857590.00914787611825154
0.029.278369450651470.0152388429810091
0.039.292422913380010.0224947394044153
0.049.309239493329510.0294454101819051
0.059.328686221162080.0378057906647643
0.069.351404679420070.0496509337217266
0.079.378427169722330.0642769544027733
0.089.410049211184240.0778173496661379
0.099.445074668917830.086092394035896
0.19.481097272032080.0871587368752538
0.119.515509638365860.0819989433683735
0.129.546484779894290.0734765573892305
0.139.573452645623950.0650917560624619
0.149.597041536654740.0599518377175524
0.159.61868926328820.0599910519030997
0.169.640148592239740.0655330360270616
0.179.663046448308120.0754765298423448
0.189.688586741053330.0879956910213675
0.199.717427188230050.10144348688619
0.29.749709110766690.114409950610592
0.219.78518435330030.12606203293075
0.229.823376541231510.135976511276181
0.239.863732599325280.144107789113484
0.249.90574712467060.150777288124417
0.259.949057425618450.156573313663326
0.269.993504625150730.162370622719137
0.2710.03914604937650.169003334043142
0.2810.08620219898880.177001118733973
0.2910.13493692157020.186203857256335
0.310.18549723476850.195726809779487
0.3110.23776427742270.204040501457057
0.3210.29127287716840.209542855184361
0.3310.34523713788630.210988442472444
0.3410.39868008614350.207952424547649
0.3510.45062444701780.200880279678772
0.3610.50027833520450.190960680641624
0.3710.54715465959780.17972967362796
0.3810.59109286908120.1686224762218
0.3910.63219123430780.158443371137168
0.410.67068905233810.149476340280517
0.4110.70684911206080.141457616900431
0.4210.7408806116970.133948141475703
0.4310.77292000369260.126575343030118
0.4410.80306392437860.119320420919919
0.4510.83143358396050.112433771385334
0.4610.8582466755290.10650817806309
0.4710.88387812982360.102393449815361
0.4810.90889918902030.101041908580048
0.4910.93409028628510.103422105570897
0.510.96042513267010.110371945238584
0.5110.98902268503320.122353470652643
0.5211.02106371963030.139433043639707
0.5311.05767256402410.160921113825361
0.5411.09977269081680.18560448678474
0.5511.14793490178340.211613089185381
0.5611.20224455258010.2366537106128
0.5711.2622160704940.258245785822679
0.5811.32677769468110.274077634552088
0.5911.39433838137140.282344966831925
0.611.46293501339220.281876592873813
0.6111.53044406814460.272551108737794
0.6211.59482957406170.255222586925746
0.6311.65439025787920.231668953105935
0.6411.70796568495910.20442525892387
0.6511.75506652456360.176348083572631
0.6611.7959085342870.150294615533773
0.6711.83135021451730.128732952594105
0.6811.8627533600080.113463338302966
0.6911.89179650136910.105581490560625
0.711.92027024107640.105105913302601
0.7111.94987433686120.111131840441902
0.7211.98202763468540.121937567685155
0.7312.0177013036330.135310773254
0.7412.05729399450470.148790385838595
0.7512.1005764973760.159997754872126
0.7612.14673124037120.166955723975923
0.7712.19449178079420.168465221822925
0.7812.24235504670930.164287452078469
0.7912.28881200026430.154966973497872
0.812.33253934777550.141702637776253
0.8112.37252132923820.125839395824674
0.8212.40811081554560.108735511043165
0.8312.43906381797330.09166998936066
0.8412.46556989798590.0759179589967318
0.8512.48826045431510.0628158538882245
0.8612.5081448906650.0534356139732804
0.8712.52644115730180.0481977086853866
0.8812.54433448509790.0464512892600515
0.8912.56276562660830.0468239805867977
0.912.58235264658130.0480262154454605
0.9112.60348055660560.0493710509429456
0.9212.62652080660060.0508305521038624
0.9312.6521154820090.0529048777702491
0.9412.68137372828740.0564924559242007
0.9512.71554737618920.0614966839230934
0.9612.75466940169410.0642688552161158
0.9712.79615417626050.058239136518312
0.9812.83845251775240.0441319450824292
0.9912.88998590269730.0522383399118798

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.26712459885759 & 0.00914787611825154 \tabularnewline
0.02 & 9.27836945065147 & 0.0152388429810091 \tabularnewline
0.03 & 9.29242291338001 & 0.0224947394044153 \tabularnewline
0.04 & 9.30923949332951 & 0.0294454101819051 \tabularnewline
0.05 & 9.32868622116208 & 0.0378057906647643 \tabularnewline
0.06 & 9.35140467942007 & 0.0496509337217266 \tabularnewline
0.07 & 9.37842716972233 & 0.0642769544027733 \tabularnewline
0.08 & 9.41004921118424 & 0.0778173496661379 \tabularnewline
0.09 & 9.44507466891783 & 0.086092394035896 \tabularnewline
0.1 & 9.48109727203208 & 0.0871587368752538 \tabularnewline
0.11 & 9.51550963836586 & 0.0819989433683735 \tabularnewline
0.12 & 9.54648477989429 & 0.0734765573892305 \tabularnewline
0.13 & 9.57345264562395 & 0.0650917560624619 \tabularnewline
0.14 & 9.59704153665474 & 0.0599518377175524 \tabularnewline
0.15 & 9.6186892632882 & 0.0599910519030997 \tabularnewline
0.16 & 9.64014859223974 & 0.0655330360270616 \tabularnewline
0.17 & 9.66304644830812 & 0.0754765298423448 \tabularnewline
0.18 & 9.68858674105333 & 0.0879956910213675 \tabularnewline
0.19 & 9.71742718823005 & 0.10144348688619 \tabularnewline
0.2 & 9.74970911076669 & 0.114409950610592 \tabularnewline
0.21 & 9.7851843533003 & 0.12606203293075 \tabularnewline
0.22 & 9.82337654123151 & 0.135976511276181 \tabularnewline
0.23 & 9.86373259932528 & 0.144107789113484 \tabularnewline
0.24 & 9.9057471246706 & 0.150777288124417 \tabularnewline
0.25 & 9.94905742561845 & 0.156573313663326 \tabularnewline
0.26 & 9.99350462515073 & 0.162370622719137 \tabularnewline
0.27 & 10.0391460493765 & 0.169003334043142 \tabularnewline
0.28 & 10.0862021989888 & 0.177001118733973 \tabularnewline
0.29 & 10.1349369215702 & 0.186203857256335 \tabularnewline
0.3 & 10.1854972347685 & 0.195726809779487 \tabularnewline
0.31 & 10.2377642774227 & 0.204040501457057 \tabularnewline
0.32 & 10.2912728771684 & 0.209542855184361 \tabularnewline
0.33 & 10.3452371378863 & 0.210988442472444 \tabularnewline
0.34 & 10.3986800861435 & 0.207952424547649 \tabularnewline
0.35 & 10.4506244470178 & 0.200880279678772 \tabularnewline
0.36 & 10.5002783352045 & 0.190960680641624 \tabularnewline
0.37 & 10.5471546595978 & 0.17972967362796 \tabularnewline
0.38 & 10.5910928690812 & 0.1686224762218 \tabularnewline
0.39 & 10.6321912343078 & 0.158443371137168 \tabularnewline
0.4 & 10.6706890523381 & 0.149476340280517 \tabularnewline
0.41 & 10.7068491120608 & 0.141457616900431 \tabularnewline
0.42 & 10.740880611697 & 0.133948141475703 \tabularnewline
0.43 & 10.7729200036926 & 0.126575343030118 \tabularnewline
0.44 & 10.8030639243786 & 0.119320420919919 \tabularnewline
0.45 & 10.8314335839605 & 0.112433771385334 \tabularnewline
0.46 & 10.858246675529 & 0.10650817806309 \tabularnewline
0.47 & 10.8838781298236 & 0.102393449815361 \tabularnewline
0.48 & 10.9088991890203 & 0.101041908580048 \tabularnewline
0.49 & 10.9340902862851 & 0.103422105570897 \tabularnewline
0.5 & 10.9604251326701 & 0.110371945238584 \tabularnewline
0.51 & 10.9890226850332 & 0.122353470652643 \tabularnewline
0.52 & 11.0210637196303 & 0.139433043639707 \tabularnewline
0.53 & 11.0576725640241 & 0.160921113825361 \tabularnewline
0.54 & 11.0997726908168 & 0.18560448678474 \tabularnewline
0.55 & 11.1479349017834 & 0.211613089185381 \tabularnewline
0.56 & 11.2022445525801 & 0.2366537106128 \tabularnewline
0.57 & 11.262216070494 & 0.258245785822679 \tabularnewline
0.58 & 11.3267776946811 & 0.274077634552088 \tabularnewline
0.59 & 11.3943383813714 & 0.282344966831925 \tabularnewline
0.6 & 11.4629350133922 & 0.281876592873813 \tabularnewline
0.61 & 11.5304440681446 & 0.272551108737794 \tabularnewline
0.62 & 11.5948295740617 & 0.255222586925746 \tabularnewline
0.63 & 11.6543902578792 & 0.231668953105935 \tabularnewline
0.64 & 11.7079656849591 & 0.20442525892387 \tabularnewline
0.65 & 11.7550665245636 & 0.176348083572631 \tabularnewline
0.66 & 11.795908534287 & 0.150294615533773 \tabularnewline
0.67 & 11.8313502145173 & 0.128732952594105 \tabularnewline
0.68 & 11.862753360008 & 0.113463338302966 \tabularnewline
0.69 & 11.8917965013691 & 0.105581490560625 \tabularnewline
0.7 & 11.9202702410764 & 0.105105913302601 \tabularnewline
0.71 & 11.9498743368612 & 0.111131840441902 \tabularnewline
0.72 & 11.9820276346854 & 0.121937567685155 \tabularnewline
0.73 & 12.017701303633 & 0.135310773254 \tabularnewline
0.74 & 12.0572939945047 & 0.148790385838595 \tabularnewline
0.75 & 12.100576497376 & 0.159997754872126 \tabularnewline
0.76 & 12.1467312403712 & 0.166955723975923 \tabularnewline
0.77 & 12.1944917807942 & 0.168465221822925 \tabularnewline
0.78 & 12.2423550467093 & 0.164287452078469 \tabularnewline
0.79 & 12.2888120002643 & 0.154966973497872 \tabularnewline
0.8 & 12.3325393477755 & 0.141702637776253 \tabularnewline
0.81 & 12.3725213292382 & 0.125839395824674 \tabularnewline
0.82 & 12.4081108155456 & 0.108735511043165 \tabularnewline
0.83 & 12.4390638179733 & 0.09166998936066 \tabularnewline
0.84 & 12.4655698979859 & 0.0759179589967318 \tabularnewline
0.85 & 12.4882604543151 & 0.0628158538882245 \tabularnewline
0.86 & 12.508144890665 & 0.0534356139732804 \tabularnewline
0.87 & 12.5264411573018 & 0.0481977086853866 \tabularnewline
0.88 & 12.5443344850979 & 0.0464512892600515 \tabularnewline
0.89 & 12.5627656266083 & 0.0468239805867977 \tabularnewline
0.9 & 12.5823526465813 & 0.0480262154454605 \tabularnewline
0.91 & 12.6034805566056 & 0.0493710509429456 \tabularnewline
0.92 & 12.6265208066006 & 0.0508305521038624 \tabularnewline
0.93 & 12.652115482009 & 0.0529048777702491 \tabularnewline
0.94 & 12.6813737282874 & 0.0564924559242007 \tabularnewline
0.95 & 12.7155473761892 & 0.0614966839230934 \tabularnewline
0.96 & 12.7546694016941 & 0.0642688552161158 \tabularnewline
0.97 & 12.7961541762605 & 0.058239136518312 \tabularnewline
0.98 & 12.8384525177524 & 0.0441319450824292 \tabularnewline
0.99 & 12.8899859026973 & 0.0522383399118798 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128056&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]9.26712459885759[/C][C]0.00914787611825154[/C][/ROW]
[ROW][C]0.02[/C][C]9.27836945065147[/C][C]0.0152388429810091[/C][/ROW]
[ROW][C]0.03[/C][C]9.29242291338001[/C][C]0.0224947394044153[/C][/ROW]
[ROW][C]0.04[/C][C]9.30923949332951[/C][C]0.0294454101819051[/C][/ROW]
[ROW][C]0.05[/C][C]9.32868622116208[/C][C]0.0378057906647643[/C][/ROW]
[ROW][C]0.06[/C][C]9.35140467942007[/C][C]0.0496509337217266[/C][/ROW]
[ROW][C]0.07[/C][C]9.37842716972233[/C][C]0.0642769544027733[/C][/ROW]
[ROW][C]0.08[/C][C]9.41004921118424[/C][C]0.0778173496661379[/C][/ROW]
[ROW][C]0.09[/C][C]9.44507466891783[/C][C]0.086092394035896[/C][/ROW]
[ROW][C]0.1[/C][C]9.48109727203208[/C][C]0.0871587368752538[/C][/ROW]
[ROW][C]0.11[/C][C]9.51550963836586[/C][C]0.0819989433683735[/C][/ROW]
[ROW][C]0.12[/C][C]9.54648477989429[/C][C]0.0734765573892305[/C][/ROW]
[ROW][C]0.13[/C][C]9.57345264562395[/C][C]0.0650917560624619[/C][/ROW]
[ROW][C]0.14[/C][C]9.59704153665474[/C][C]0.0599518377175524[/C][/ROW]
[ROW][C]0.15[/C][C]9.6186892632882[/C][C]0.0599910519030997[/C][/ROW]
[ROW][C]0.16[/C][C]9.64014859223974[/C][C]0.0655330360270616[/C][/ROW]
[ROW][C]0.17[/C][C]9.66304644830812[/C][C]0.0754765298423448[/C][/ROW]
[ROW][C]0.18[/C][C]9.68858674105333[/C][C]0.0879956910213675[/C][/ROW]
[ROW][C]0.19[/C][C]9.71742718823005[/C][C]0.10144348688619[/C][/ROW]
[ROW][C]0.2[/C][C]9.74970911076669[/C][C]0.114409950610592[/C][/ROW]
[ROW][C]0.21[/C][C]9.7851843533003[/C][C]0.12606203293075[/C][/ROW]
[ROW][C]0.22[/C][C]9.82337654123151[/C][C]0.135976511276181[/C][/ROW]
[ROW][C]0.23[/C][C]9.86373259932528[/C][C]0.144107789113484[/C][/ROW]
[ROW][C]0.24[/C][C]9.9057471246706[/C][C]0.150777288124417[/C][/ROW]
[ROW][C]0.25[/C][C]9.94905742561845[/C][C]0.156573313663326[/C][/ROW]
[ROW][C]0.26[/C][C]9.99350462515073[/C][C]0.162370622719137[/C][/ROW]
[ROW][C]0.27[/C][C]10.0391460493765[/C][C]0.169003334043142[/C][/ROW]
[ROW][C]0.28[/C][C]10.0862021989888[/C][C]0.177001118733973[/C][/ROW]
[ROW][C]0.29[/C][C]10.1349369215702[/C][C]0.186203857256335[/C][/ROW]
[ROW][C]0.3[/C][C]10.1854972347685[/C][C]0.195726809779487[/C][/ROW]
[ROW][C]0.31[/C][C]10.2377642774227[/C][C]0.204040501457057[/C][/ROW]
[ROW][C]0.32[/C][C]10.2912728771684[/C][C]0.209542855184361[/C][/ROW]
[ROW][C]0.33[/C][C]10.3452371378863[/C][C]0.210988442472444[/C][/ROW]
[ROW][C]0.34[/C][C]10.3986800861435[/C][C]0.207952424547649[/C][/ROW]
[ROW][C]0.35[/C][C]10.4506244470178[/C][C]0.200880279678772[/C][/ROW]
[ROW][C]0.36[/C][C]10.5002783352045[/C][C]0.190960680641624[/C][/ROW]
[ROW][C]0.37[/C][C]10.5471546595978[/C][C]0.17972967362796[/C][/ROW]
[ROW][C]0.38[/C][C]10.5910928690812[/C][C]0.1686224762218[/C][/ROW]
[ROW][C]0.39[/C][C]10.6321912343078[/C][C]0.158443371137168[/C][/ROW]
[ROW][C]0.4[/C][C]10.6706890523381[/C][C]0.149476340280517[/C][/ROW]
[ROW][C]0.41[/C][C]10.7068491120608[/C][C]0.141457616900431[/C][/ROW]
[ROW][C]0.42[/C][C]10.740880611697[/C][C]0.133948141475703[/C][/ROW]
[ROW][C]0.43[/C][C]10.7729200036926[/C][C]0.126575343030118[/C][/ROW]
[ROW][C]0.44[/C][C]10.8030639243786[/C][C]0.119320420919919[/C][/ROW]
[ROW][C]0.45[/C][C]10.8314335839605[/C][C]0.112433771385334[/C][/ROW]
[ROW][C]0.46[/C][C]10.858246675529[/C][C]0.10650817806309[/C][/ROW]
[ROW][C]0.47[/C][C]10.8838781298236[/C][C]0.102393449815361[/C][/ROW]
[ROW][C]0.48[/C][C]10.9088991890203[/C][C]0.101041908580048[/C][/ROW]
[ROW][C]0.49[/C][C]10.9340902862851[/C][C]0.103422105570897[/C][/ROW]
[ROW][C]0.5[/C][C]10.9604251326701[/C][C]0.110371945238584[/C][/ROW]
[ROW][C]0.51[/C][C]10.9890226850332[/C][C]0.122353470652643[/C][/ROW]
[ROW][C]0.52[/C][C]11.0210637196303[/C][C]0.139433043639707[/C][/ROW]
[ROW][C]0.53[/C][C]11.0576725640241[/C][C]0.160921113825361[/C][/ROW]
[ROW][C]0.54[/C][C]11.0997726908168[/C][C]0.18560448678474[/C][/ROW]
[ROW][C]0.55[/C][C]11.1479349017834[/C][C]0.211613089185381[/C][/ROW]
[ROW][C]0.56[/C][C]11.2022445525801[/C][C]0.2366537106128[/C][/ROW]
[ROW][C]0.57[/C][C]11.262216070494[/C][C]0.258245785822679[/C][/ROW]
[ROW][C]0.58[/C][C]11.3267776946811[/C][C]0.274077634552088[/C][/ROW]
[ROW][C]0.59[/C][C]11.3943383813714[/C][C]0.282344966831925[/C][/ROW]
[ROW][C]0.6[/C][C]11.4629350133922[/C][C]0.281876592873813[/C][/ROW]
[ROW][C]0.61[/C][C]11.5304440681446[/C][C]0.272551108737794[/C][/ROW]
[ROW][C]0.62[/C][C]11.5948295740617[/C][C]0.255222586925746[/C][/ROW]
[ROW][C]0.63[/C][C]11.6543902578792[/C][C]0.231668953105935[/C][/ROW]
[ROW][C]0.64[/C][C]11.7079656849591[/C][C]0.20442525892387[/C][/ROW]
[ROW][C]0.65[/C][C]11.7550665245636[/C][C]0.176348083572631[/C][/ROW]
[ROW][C]0.66[/C][C]11.795908534287[/C][C]0.150294615533773[/C][/ROW]
[ROW][C]0.67[/C][C]11.8313502145173[/C][C]0.128732952594105[/C][/ROW]
[ROW][C]0.68[/C][C]11.862753360008[/C][C]0.113463338302966[/C][/ROW]
[ROW][C]0.69[/C][C]11.8917965013691[/C][C]0.105581490560625[/C][/ROW]
[ROW][C]0.7[/C][C]11.9202702410764[/C][C]0.105105913302601[/C][/ROW]
[ROW][C]0.71[/C][C]11.9498743368612[/C][C]0.111131840441902[/C][/ROW]
[ROW][C]0.72[/C][C]11.9820276346854[/C][C]0.121937567685155[/C][/ROW]
[ROW][C]0.73[/C][C]12.017701303633[/C][C]0.135310773254[/C][/ROW]
[ROW][C]0.74[/C][C]12.0572939945047[/C][C]0.148790385838595[/C][/ROW]
[ROW][C]0.75[/C][C]12.100576497376[/C][C]0.159997754872126[/C][/ROW]
[ROW][C]0.76[/C][C]12.1467312403712[/C][C]0.166955723975923[/C][/ROW]
[ROW][C]0.77[/C][C]12.1944917807942[/C][C]0.168465221822925[/C][/ROW]
[ROW][C]0.78[/C][C]12.2423550467093[/C][C]0.164287452078469[/C][/ROW]
[ROW][C]0.79[/C][C]12.2888120002643[/C][C]0.154966973497872[/C][/ROW]
[ROW][C]0.8[/C][C]12.3325393477755[/C][C]0.141702637776253[/C][/ROW]
[ROW][C]0.81[/C][C]12.3725213292382[/C][C]0.125839395824674[/C][/ROW]
[ROW][C]0.82[/C][C]12.4081108155456[/C][C]0.108735511043165[/C][/ROW]
[ROW][C]0.83[/C][C]12.4390638179733[/C][C]0.09166998936066[/C][/ROW]
[ROW][C]0.84[/C][C]12.4655698979859[/C][C]0.0759179589967318[/C][/ROW]
[ROW][C]0.85[/C][C]12.4882604543151[/C][C]0.0628158538882245[/C][/ROW]
[ROW][C]0.86[/C][C]12.508144890665[/C][C]0.0534356139732804[/C][/ROW]
[ROW][C]0.87[/C][C]12.5264411573018[/C][C]0.0481977086853866[/C][/ROW]
[ROW][C]0.88[/C][C]12.5443344850979[/C][C]0.0464512892600515[/C][/ROW]
[ROW][C]0.89[/C][C]12.5627656266083[/C][C]0.0468239805867977[/C][/ROW]
[ROW][C]0.9[/C][C]12.5823526465813[/C][C]0.0480262154454605[/C][/ROW]
[ROW][C]0.91[/C][C]12.6034805566056[/C][C]0.0493710509429456[/C][/ROW]
[ROW][C]0.92[/C][C]12.6265208066006[/C][C]0.0508305521038624[/C][/ROW]
[ROW][C]0.93[/C][C]12.652115482009[/C][C]0.0529048777702491[/C][/ROW]
[ROW][C]0.94[/C][C]12.6813737282874[/C][C]0.0564924559242007[/C][/ROW]
[ROW][C]0.95[/C][C]12.7155473761892[/C][C]0.0614966839230934[/C][/ROW]
[ROW][C]0.96[/C][C]12.7546694016941[/C][C]0.0642688552161158[/C][/ROW]
[ROW][C]0.97[/C][C]12.7961541762605[/C][C]0.058239136518312[/C][/ROW]
[ROW][C]0.98[/C][C]12.8384525177524[/C][C]0.0441319450824292[/C][/ROW]
[ROW][C]0.99[/C][C]12.8899859026973[/C][C]0.0522383399118798[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128056&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128056&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
0.019.267124598857590.00914787611825154
0.029.278369450651470.0152388429810091
0.039.292422913380010.0224947394044153
0.049.309239493329510.0294454101819051
0.059.328686221162080.0378057906647643
0.069.351404679420070.0496509337217266
0.079.378427169722330.0642769544027733
0.089.410049211184240.0778173496661379
0.099.445074668917830.086092394035896
0.19.481097272032080.0871587368752538
0.119.515509638365860.0819989433683735
0.129.546484779894290.0734765573892305
0.139.573452645623950.0650917560624619
0.149.597041536654740.0599518377175524
0.159.61868926328820.0599910519030997
0.169.640148592239740.0655330360270616
0.179.663046448308120.0754765298423448
0.189.688586741053330.0879956910213675
0.199.717427188230050.10144348688619
0.29.749709110766690.114409950610592
0.219.78518435330030.12606203293075
0.229.823376541231510.135976511276181
0.239.863732599325280.144107789113484
0.249.90574712467060.150777288124417
0.259.949057425618450.156573313663326
0.269.993504625150730.162370622719137
0.2710.03914604937650.169003334043142
0.2810.08620219898880.177001118733973
0.2910.13493692157020.186203857256335
0.310.18549723476850.195726809779487
0.3110.23776427742270.204040501457057
0.3210.29127287716840.209542855184361
0.3310.34523713788630.210988442472444
0.3410.39868008614350.207952424547649
0.3510.45062444701780.200880279678772
0.3610.50027833520450.190960680641624
0.3710.54715465959780.17972967362796
0.3810.59109286908120.1686224762218
0.3910.63219123430780.158443371137168
0.410.67068905233810.149476340280517
0.4110.70684911206080.141457616900431
0.4210.7408806116970.133948141475703
0.4310.77292000369260.126575343030118
0.4410.80306392437860.119320420919919
0.4510.83143358396050.112433771385334
0.4610.8582466755290.10650817806309
0.4710.88387812982360.102393449815361
0.4810.90889918902030.101041908580048
0.4910.93409028628510.103422105570897
0.510.96042513267010.110371945238584
0.5110.98902268503320.122353470652643
0.5211.02106371963030.139433043639707
0.5311.05767256402410.160921113825361
0.5411.09977269081680.18560448678474
0.5511.14793490178340.211613089185381
0.5611.20224455258010.2366537106128
0.5711.2622160704940.258245785822679
0.5811.32677769468110.274077634552088
0.5911.39433838137140.282344966831925
0.611.46293501339220.281876592873813
0.6111.53044406814460.272551108737794
0.6211.59482957406170.255222586925746
0.6311.65439025787920.231668953105935
0.6411.70796568495910.20442525892387
0.6511.75506652456360.176348083572631
0.6611.7959085342870.150294615533773
0.6711.83135021451730.128732952594105
0.6811.8627533600080.113463338302966
0.6911.89179650136910.105581490560625
0.711.92027024107640.105105913302601
0.7111.94987433686120.111131840441902
0.7211.98202763468540.121937567685155
0.7312.0177013036330.135310773254
0.7412.05729399450470.148790385838595
0.7512.1005764973760.159997754872126
0.7612.14673124037120.166955723975923
0.7712.19449178079420.168465221822925
0.7812.24235504670930.164287452078469
0.7912.28881200026430.154966973497872
0.812.33253934777550.141702637776253
0.8112.37252132923820.125839395824674
0.8212.40811081554560.108735511043165
0.8312.43906381797330.09166998936066
0.8412.46556989798590.0759179589967318
0.8512.48826045431510.0628158538882245
0.8612.5081448906650.0534356139732804
0.8712.52644115730180.0481977086853866
0.8812.54433448509790.0464512892600515
0.8912.56276562660830.0468239805867977
0.912.58235264658130.0480262154454605
0.9112.60348055660560.0493710509429456
0.9212.62652080660060.0508305521038624
0.9312.6521154820090.0529048777702491
0.9412.68137372828740.0564924559242007
0.9512.71554737618920.0614966839230934
0.9612.75466940169410.0642688552161158
0.9712.79615417626050.058239136518312
0.9812.83845251775240.0441319450824292
0.9912.88998590269730.0522383399118798


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')