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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 computationThu, 31 Mar 2011 13:18:13 +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/2011/Mar/31/t13015773307g5g7gc4pqp4mfr.htm/, Retrieved Tue, 14 May 2024 15:05:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119869, Retrieved Tue, 14 May 2024 15:05:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact175

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] [Opgave 4 oef 2] [2011-03-31 13:18:13] [f94d9a6f82d80010722d76d48bd1e82c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.94
12.79
12.82
12.85
12.85
12.72
12.62
12.67
12.6
12.54
12.64
12.67
12.51
12.59
12.52
12.5
12.58
12.51
12.47
12.44
12.51
12.27
12.51
12.41
12.35
12.39
12.31
12.31
12.21
12.1
12.01
11.85
12.12
11.96
11.99
11.93
11.91
11.83
11.92
11.86
11.94
11.87
11.86
11.92
11.82
11.85
11.77
11.82
11.61
11.56
11.45
11.4
11.38
11.33
11.19
11.15
10.98
10.92
10.99
11
10.9
10.99
11.04
11.03
10.99
11
10.87
10.88
10.91
10.92
10.83
10.9
10.82
10.79
10.77
10.72
10.71
10.63
10.61
10.57
10.65
10.57
10.57
10.57
10.52
10.43
10.35
10.2
10.2
10.17
10.14
10.05
10.12
10.12

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ www.wessa.org

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119869&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119869&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119869&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 time2 seconds
R Server'Gwilym Jenkins' @ www.wessa.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110.07567520746510.0486001651192886
0.0210.10721168935770.0332060131634581
0.0310.13443139963260.0395062134708094
0.0410.16181268632520.0594832405930881
0.0510.19500461504620.0854752265715995
0.0610.23621150798450.112190960706328
0.0710.28462006374890.133443579632071
0.0810.33735716512220.144160464341245
0.0910.39054582936280.142778250860868
0.110.4405358651660.131634068026624
0.1110.48491408676320.11555072113039
0.1210.52291446025510.099701662320755
0.1310.55520066590610.087985391781001
0.1410.58327737299840.0821167343571735
0.1510.60884887145380.0815531012759955
0.1610.63334446702950.0843759594160687
0.1710.65768660373350.0884529551777458
0.1810.68226977390220.0921500440243066
0.1910.70706995934110.094422931633542
0.210.73180380263110.0948628872230567
0.2110.75608051489670.0934513264579138
0.2210.77951782008370.0905067539445464
0.2310.80181503127380.0864414032247366
0.2410.82278866990060.0817864034326667
0.2510.84238061737070.0770529823560006
0.2610.86064891778290.0727008548763645
0.2710.87774982565280.0691103411521096
0.2810.89391800110070.0666216002366917
0.2910.9094501488490.0655008226941818
0.310.92469546192190.0659787559786626
0.3110.94005358581350.0683474173126827
0.3210.95597763047170.072936673599081
0.3310.97297684389240.0801064151714994
0.3410.99161206008850.0901513824029854
0.3511.01247781869480.10324497630177
0.3611.03616821160760.119265442198537
0.3711.06322817562660.13777553465984
0.3811.09409657868630.158055941598376
0.3911.12905044496940.179126738958093
0.411.16816004017010.199881262004238
0.4111.21126230372310.219123314592694
0.4211.25795623603940.235750346773642
0.4311.30761978574390.248784531220536
0.4411.35944483684510.257501033944931
0.4511.41248567707010.261334185106919
0.4611.46571657443720.260059178316252
0.4711.51809491655610.253671231799506
0.4811.56862680456230.242567767702665
0.4911.61643152057240.227388462268035
0.511.66080010993560.209015067627669
0.5111.70124224897930.188603973994537
0.5211.73751557810520.167415353172781
0.5311.76963336591160.146719849555213
0.5411.79784959579990.12766661749401
0.5511.82262445746460.111263848606391
0.5611.84457651600310.0982091298948705
0.5711.86442939679920.0890007514076758
0.5811.88296015743470.0838149753288682
0.5911.90095394380210.0825918618799329
0.611.91916607973140.085044593138462
0.6111.93828975898490.0906951319785679
0.6211.95892613326250.0989629517973178
0.6311.98155432607530.10911676792237
0.6412.00650142910320.120302857809665
0.6512.03391580698520.131608551521168
0.6612.06374963419120.142063962733442
0.6712.09575724022080.150723458919634
0.6812.12951390560840.156857059661839
0.6912.16445553016740.159916533894924
0.712.19993432321250.159717382524868
0.7112.2352811620350.156384017608014
0.7212.26986330092550.150296648248252
0.7312.30312770504650.141997220540841
0.7412.33462517588680.132087281419136
0.7512.36401701509580.121122522900913
0.7612.39107172908320.109562318380026
0.7712.415661706550.0977900642585663
0.7812.43776748768970.0861957026745684
0.7912.45749068118890.0752397503761863
0.812.47506835969480.0654124872106701
0.8112.49087583741720.0573074569208537
0.8212.50540486642240.0514254875552822
0.8312.51921206675280.0479739943175643
0.8412.53284576178840.0467623004937851
0.8512.54677271262380.0471470156126409
0.8612.56133268415480.0483234621049896
0.8712.57674394149270.0496514962128151
0.8812.59316727501420.0508914068452377
0.8912.610814180530.0522057148981027
0.912.630059450770.0541840255873522
0.9112.65149040680530.0575065505757537
0.9212.6758032504190.0624049683745606
0.9312.70347614145840.0679315504918748
0.9412.73426775901290.0715658565510539
0.9512.7668553265070.0700018649706699
0.9612.79930198239580.0613254894859019
0.9712.83113338111490.0482819313078707
0.9812.86588024350930.0434297858706455
0.9912.90681993293070.06281841198298

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10.0756752074651 & 0.0486001651192886 \tabularnewline
0.02 & 10.1072116893577 & 0.0332060131634581 \tabularnewline
0.03 & 10.1344313996326 & 0.0395062134708094 \tabularnewline
0.04 & 10.1618126863252 & 0.0594832405930881 \tabularnewline
0.05 & 10.1950046150462 & 0.0854752265715995 \tabularnewline
0.06 & 10.2362115079845 & 0.112190960706328 \tabularnewline
0.07 & 10.2846200637489 & 0.133443579632071 \tabularnewline
0.08 & 10.3373571651222 & 0.144160464341245 \tabularnewline
0.09 & 10.3905458293628 & 0.142778250860868 \tabularnewline
0.1 & 10.440535865166 & 0.131634068026624 \tabularnewline
0.11 & 10.4849140867632 & 0.11555072113039 \tabularnewline
0.12 & 10.5229144602551 & 0.099701662320755 \tabularnewline
0.13 & 10.5552006659061 & 0.087985391781001 \tabularnewline
0.14 & 10.5832773729984 & 0.0821167343571735 \tabularnewline
0.15 & 10.6088488714538 & 0.0815531012759955 \tabularnewline
0.16 & 10.6333444670295 & 0.0843759594160687 \tabularnewline
0.17 & 10.6576866037335 & 0.0884529551777458 \tabularnewline
0.18 & 10.6822697739022 & 0.0921500440243066 \tabularnewline
0.19 & 10.7070699593411 & 0.094422931633542 \tabularnewline
0.2 & 10.7318038026311 & 0.0948628872230567 \tabularnewline
0.21 & 10.7560805148967 & 0.0934513264579138 \tabularnewline
0.22 & 10.7795178200837 & 0.0905067539445464 \tabularnewline
0.23 & 10.8018150312738 & 0.0864414032247366 \tabularnewline
0.24 & 10.8227886699006 & 0.0817864034326667 \tabularnewline
0.25 & 10.8423806173707 & 0.0770529823560006 \tabularnewline
0.26 & 10.8606489177829 & 0.0727008548763645 \tabularnewline
0.27 & 10.8777498256528 & 0.0691103411521096 \tabularnewline
0.28 & 10.8939180011007 & 0.0666216002366917 \tabularnewline
0.29 & 10.909450148849 & 0.0655008226941818 \tabularnewline
0.3 & 10.9246954619219 & 0.0659787559786626 \tabularnewline
0.31 & 10.9400535858135 & 0.0683474173126827 \tabularnewline
0.32 & 10.9559776304717 & 0.072936673599081 \tabularnewline
0.33 & 10.9729768438924 & 0.0801064151714994 \tabularnewline
0.34 & 10.9916120600885 & 0.0901513824029854 \tabularnewline
0.35 & 11.0124778186948 & 0.10324497630177 \tabularnewline
0.36 & 11.0361682116076 & 0.119265442198537 \tabularnewline
0.37 & 11.0632281756266 & 0.13777553465984 \tabularnewline
0.38 & 11.0940965786863 & 0.158055941598376 \tabularnewline
0.39 & 11.1290504449694 & 0.179126738958093 \tabularnewline
0.4 & 11.1681600401701 & 0.199881262004238 \tabularnewline
0.41 & 11.2112623037231 & 0.219123314592694 \tabularnewline
0.42 & 11.2579562360394 & 0.235750346773642 \tabularnewline
0.43 & 11.3076197857439 & 0.248784531220536 \tabularnewline
0.44 & 11.3594448368451 & 0.257501033944931 \tabularnewline
0.45 & 11.4124856770701 & 0.261334185106919 \tabularnewline
0.46 & 11.4657165744372 & 0.260059178316252 \tabularnewline
0.47 & 11.5180949165561 & 0.253671231799506 \tabularnewline
0.48 & 11.5686268045623 & 0.242567767702665 \tabularnewline
0.49 & 11.6164315205724 & 0.227388462268035 \tabularnewline
0.5 & 11.6608001099356 & 0.209015067627669 \tabularnewline
0.51 & 11.7012422489793 & 0.188603973994537 \tabularnewline
0.52 & 11.7375155781052 & 0.167415353172781 \tabularnewline
0.53 & 11.7696333659116 & 0.146719849555213 \tabularnewline
0.54 & 11.7978495957999 & 0.12766661749401 \tabularnewline
0.55 & 11.8226244574646 & 0.111263848606391 \tabularnewline
0.56 & 11.8445765160031 & 0.0982091298948705 \tabularnewline
0.57 & 11.8644293967992 & 0.0890007514076758 \tabularnewline
0.58 & 11.8829601574347 & 0.0838149753288682 \tabularnewline
0.59 & 11.9009539438021 & 0.0825918618799329 \tabularnewline
0.6 & 11.9191660797314 & 0.085044593138462 \tabularnewline
0.61 & 11.9382897589849 & 0.0906951319785679 \tabularnewline
0.62 & 11.9589261332625 & 0.0989629517973178 \tabularnewline
0.63 & 11.9815543260753 & 0.10911676792237 \tabularnewline
0.64 & 12.0065014291032 & 0.120302857809665 \tabularnewline
0.65 & 12.0339158069852 & 0.131608551521168 \tabularnewline
0.66 & 12.0637496341912 & 0.142063962733442 \tabularnewline
0.67 & 12.0957572402208 & 0.150723458919634 \tabularnewline
0.68 & 12.1295139056084 & 0.156857059661839 \tabularnewline
0.69 & 12.1644555301674 & 0.159916533894924 \tabularnewline
0.7 & 12.1999343232125 & 0.159717382524868 \tabularnewline
0.71 & 12.235281162035 & 0.156384017608014 \tabularnewline
0.72 & 12.2698633009255 & 0.150296648248252 \tabularnewline
0.73 & 12.3031277050465 & 0.141997220540841 \tabularnewline
0.74 & 12.3346251758868 & 0.132087281419136 \tabularnewline
0.75 & 12.3640170150958 & 0.121122522900913 \tabularnewline
0.76 & 12.3910717290832 & 0.109562318380026 \tabularnewline
0.77 & 12.41566170655 & 0.0977900642585663 \tabularnewline
0.78 & 12.4377674876897 & 0.0861957026745684 \tabularnewline
0.79 & 12.4574906811889 & 0.0752397503761863 \tabularnewline
0.8 & 12.4750683596948 & 0.0654124872106701 \tabularnewline
0.81 & 12.4908758374172 & 0.0573074569208537 \tabularnewline
0.82 & 12.5054048664224 & 0.0514254875552822 \tabularnewline
0.83 & 12.5192120667528 & 0.0479739943175643 \tabularnewline
0.84 & 12.5328457617884 & 0.0467623004937851 \tabularnewline
0.85 & 12.5467727126238 & 0.0471470156126409 \tabularnewline
0.86 & 12.5613326841548 & 0.0483234621049896 \tabularnewline
0.87 & 12.5767439414927 & 0.0496514962128151 \tabularnewline
0.88 & 12.5931672750142 & 0.0508914068452377 \tabularnewline
0.89 & 12.61081418053 & 0.0522057148981027 \tabularnewline
0.9 & 12.63005945077 & 0.0541840255873522 \tabularnewline
0.91 & 12.6514904068053 & 0.0575065505757537 \tabularnewline
0.92 & 12.675803250419 & 0.0624049683745606 \tabularnewline
0.93 & 12.7034761414584 & 0.0679315504918748 \tabularnewline
0.94 & 12.7342677590129 & 0.0715658565510539 \tabularnewline
0.95 & 12.766855326507 & 0.0700018649706699 \tabularnewline
0.96 & 12.7993019823958 & 0.0613254894859019 \tabularnewline
0.97 & 12.8311333811149 & 0.0482819313078707 \tabularnewline
0.98 & 12.8658802435093 & 0.0434297858706455 \tabularnewline
0.99 & 12.9068199329307 & 0.06281841198298 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119869&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]10.0756752074651[/C][C]0.0486001651192886[/C][/ROW]
[ROW][C]0.02[/C][C]10.1072116893577[/C][C]0.0332060131634581[/C][/ROW]
[ROW][C]0.03[/C][C]10.1344313996326[/C][C]0.0395062134708094[/C][/ROW]
[ROW][C]0.04[/C][C]10.1618126863252[/C][C]0.0594832405930881[/C][/ROW]
[ROW][C]0.05[/C][C]10.1950046150462[/C][C]0.0854752265715995[/C][/ROW]
[ROW][C]0.06[/C][C]10.2362115079845[/C][C]0.112190960706328[/C][/ROW]
[ROW][C]0.07[/C][C]10.2846200637489[/C][C]0.133443579632071[/C][/ROW]
[ROW][C]0.08[/C][C]10.3373571651222[/C][C]0.144160464341245[/C][/ROW]
[ROW][C]0.09[/C][C]10.3905458293628[/C][C]0.142778250860868[/C][/ROW]
[ROW][C]0.1[/C][C]10.440535865166[/C][C]0.131634068026624[/C][/ROW]
[ROW][C]0.11[/C][C]10.4849140867632[/C][C]0.11555072113039[/C][/ROW]
[ROW][C]0.12[/C][C]10.5229144602551[/C][C]0.099701662320755[/C][/ROW]
[ROW][C]0.13[/C][C]10.5552006659061[/C][C]0.087985391781001[/C][/ROW]
[ROW][C]0.14[/C][C]10.5832773729984[/C][C]0.0821167343571735[/C][/ROW]
[ROW][C]0.15[/C][C]10.6088488714538[/C][C]0.0815531012759955[/C][/ROW]
[ROW][C]0.16[/C][C]10.6333444670295[/C][C]0.0843759594160687[/C][/ROW]
[ROW][C]0.17[/C][C]10.6576866037335[/C][C]0.0884529551777458[/C][/ROW]
[ROW][C]0.18[/C][C]10.6822697739022[/C][C]0.0921500440243066[/C][/ROW]
[ROW][C]0.19[/C][C]10.7070699593411[/C][C]0.094422931633542[/C][/ROW]
[ROW][C]0.2[/C][C]10.7318038026311[/C][C]0.0948628872230567[/C][/ROW]
[ROW][C]0.21[/C][C]10.7560805148967[/C][C]0.0934513264579138[/C][/ROW]
[ROW][C]0.22[/C][C]10.7795178200837[/C][C]0.0905067539445464[/C][/ROW]
[ROW][C]0.23[/C][C]10.8018150312738[/C][C]0.0864414032247366[/C][/ROW]
[ROW][C]0.24[/C][C]10.8227886699006[/C][C]0.0817864034326667[/C][/ROW]
[ROW][C]0.25[/C][C]10.8423806173707[/C][C]0.0770529823560006[/C][/ROW]
[ROW][C]0.26[/C][C]10.8606489177829[/C][C]0.0727008548763645[/C][/ROW]
[ROW][C]0.27[/C][C]10.8777498256528[/C][C]0.0691103411521096[/C][/ROW]
[ROW][C]0.28[/C][C]10.8939180011007[/C][C]0.0666216002366917[/C][/ROW]
[ROW][C]0.29[/C][C]10.909450148849[/C][C]0.0655008226941818[/C][/ROW]
[ROW][C]0.3[/C][C]10.9246954619219[/C][C]0.0659787559786626[/C][/ROW]
[ROW][C]0.31[/C][C]10.9400535858135[/C][C]0.0683474173126827[/C][/ROW]
[ROW][C]0.32[/C][C]10.9559776304717[/C][C]0.072936673599081[/C][/ROW]
[ROW][C]0.33[/C][C]10.9729768438924[/C][C]0.0801064151714994[/C][/ROW]
[ROW][C]0.34[/C][C]10.9916120600885[/C][C]0.0901513824029854[/C][/ROW]
[ROW][C]0.35[/C][C]11.0124778186948[/C][C]0.10324497630177[/C][/ROW]
[ROW][C]0.36[/C][C]11.0361682116076[/C][C]0.119265442198537[/C][/ROW]
[ROW][C]0.37[/C][C]11.0632281756266[/C][C]0.13777553465984[/C][/ROW]
[ROW][C]0.38[/C][C]11.0940965786863[/C][C]0.158055941598376[/C][/ROW]
[ROW][C]0.39[/C][C]11.1290504449694[/C][C]0.179126738958093[/C][/ROW]
[ROW][C]0.4[/C][C]11.1681600401701[/C][C]0.199881262004238[/C][/ROW]
[ROW][C]0.41[/C][C]11.2112623037231[/C][C]0.219123314592694[/C][/ROW]
[ROW][C]0.42[/C][C]11.2579562360394[/C][C]0.235750346773642[/C][/ROW]
[ROW][C]0.43[/C][C]11.3076197857439[/C][C]0.248784531220536[/C][/ROW]
[ROW][C]0.44[/C][C]11.3594448368451[/C][C]0.257501033944931[/C][/ROW]
[ROW][C]0.45[/C][C]11.4124856770701[/C][C]0.261334185106919[/C][/ROW]
[ROW][C]0.46[/C][C]11.4657165744372[/C][C]0.260059178316252[/C][/ROW]
[ROW][C]0.47[/C][C]11.5180949165561[/C][C]0.253671231799506[/C][/ROW]
[ROW][C]0.48[/C][C]11.5686268045623[/C][C]0.242567767702665[/C][/ROW]
[ROW][C]0.49[/C][C]11.6164315205724[/C][C]0.227388462268035[/C][/ROW]
[ROW][C]0.5[/C][C]11.6608001099356[/C][C]0.209015067627669[/C][/ROW]
[ROW][C]0.51[/C][C]11.7012422489793[/C][C]0.188603973994537[/C][/ROW]
[ROW][C]0.52[/C][C]11.7375155781052[/C][C]0.167415353172781[/C][/ROW]
[ROW][C]0.53[/C][C]11.7696333659116[/C][C]0.146719849555213[/C][/ROW]
[ROW][C]0.54[/C][C]11.7978495957999[/C][C]0.12766661749401[/C][/ROW]
[ROW][C]0.55[/C][C]11.8226244574646[/C][C]0.111263848606391[/C][/ROW]
[ROW][C]0.56[/C][C]11.8445765160031[/C][C]0.0982091298948705[/C][/ROW]
[ROW][C]0.57[/C][C]11.8644293967992[/C][C]0.0890007514076758[/C][/ROW]
[ROW][C]0.58[/C][C]11.8829601574347[/C][C]0.0838149753288682[/C][/ROW]
[ROW][C]0.59[/C][C]11.9009539438021[/C][C]0.0825918618799329[/C][/ROW]
[ROW][C]0.6[/C][C]11.9191660797314[/C][C]0.085044593138462[/C][/ROW]
[ROW][C]0.61[/C][C]11.9382897589849[/C][C]0.0906951319785679[/C][/ROW]
[ROW][C]0.62[/C][C]11.9589261332625[/C][C]0.0989629517973178[/C][/ROW]
[ROW][C]0.63[/C][C]11.9815543260753[/C][C]0.10911676792237[/C][/ROW]
[ROW][C]0.64[/C][C]12.0065014291032[/C][C]0.120302857809665[/C][/ROW]
[ROW][C]0.65[/C][C]12.0339158069852[/C][C]0.131608551521168[/C][/ROW]
[ROW][C]0.66[/C][C]12.0637496341912[/C][C]0.142063962733442[/C][/ROW]
[ROW][C]0.67[/C][C]12.0957572402208[/C][C]0.150723458919634[/C][/ROW]
[ROW][C]0.68[/C][C]12.1295139056084[/C][C]0.156857059661839[/C][/ROW]
[ROW][C]0.69[/C][C]12.1644555301674[/C][C]0.159916533894924[/C][/ROW]
[ROW][C]0.7[/C][C]12.1999343232125[/C][C]0.159717382524868[/C][/ROW]
[ROW][C]0.71[/C][C]12.235281162035[/C][C]0.156384017608014[/C][/ROW]
[ROW][C]0.72[/C][C]12.2698633009255[/C][C]0.150296648248252[/C][/ROW]
[ROW][C]0.73[/C][C]12.3031277050465[/C][C]0.141997220540841[/C][/ROW]
[ROW][C]0.74[/C][C]12.3346251758868[/C][C]0.132087281419136[/C][/ROW]
[ROW][C]0.75[/C][C]12.3640170150958[/C][C]0.121122522900913[/C][/ROW]
[ROW][C]0.76[/C][C]12.3910717290832[/C][C]0.109562318380026[/C][/ROW]
[ROW][C]0.77[/C][C]12.41566170655[/C][C]0.0977900642585663[/C][/ROW]
[ROW][C]0.78[/C][C]12.4377674876897[/C][C]0.0861957026745684[/C][/ROW]
[ROW][C]0.79[/C][C]12.4574906811889[/C][C]0.0752397503761863[/C][/ROW]
[ROW][C]0.8[/C][C]12.4750683596948[/C][C]0.0654124872106701[/C][/ROW]
[ROW][C]0.81[/C][C]12.4908758374172[/C][C]0.0573074569208537[/C][/ROW]
[ROW][C]0.82[/C][C]12.5054048664224[/C][C]0.0514254875552822[/C][/ROW]
[ROW][C]0.83[/C][C]12.5192120667528[/C][C]0.0479739943175643[/C][/ROW]
[ROW][C]0.84[/C][C]12.5328457617884[/C][C]0.0467623004937851[/C][/ROW]
[ROW][C]0.85[/C][C]12.5467727126238[/C][C]0.0471470156126409[/C][/ROW]
[ROW][C]0.86[/C][C]12.5613326841548[/C][C]0.0483234621049896[/C][/ROW]
[ROW][C]0.87[/C][C]12.5767439414927[/C][C]0.0496514962128151[/C][/ROW]
[ROW][C]0.88[/C][C]12.5931672750142[/C][C]0.0508914068452377[/C][/ROW]
[ROW][C]0.89[/C][C]12.61081418053[/C][C]0.0522057148981027[/C][/ROW]
[ROW][C]0.9[/C][C]12.63005945077[/C][C]0.0541840255873522[/C][/ROW]
[ROW][C]0.91[/C][C]12.6514904068053[/C][C]0.0575065505757537[/C][/ROW]
[ROW][C]0.92[/C][C]12.675803250419[/C][C]0.0624049683745606[/C][/ROW]
[ROW][C]0.93[/C][C]12.7034761414584[/C][C]0.0679315504918748[/C][/ROW]
[ROW][C]0.94[/C][C]12.7342677590129[/C][C]0.0715658565510539[/C][/ROW]
[ROW][C]0.95[/C][C]12.766855326507[/C][C]0.0700018649706699[/C][/ROW]
[ROW][C]0.96[/C][C]12.7993019823958[/C][C]0.0613254894859019[/C][/ROW]
[ROW][C]0.97[/C][C]12.8311333811149[/C][C]0.0482819313078707[/C][/ROW]
[ROW][C]0.98[/C][C]12.8658802435093[/C][C]0.0434297858706455[/C][/ROW]
[ROW][C]0.99[/C][C]12.9068199329307[/C][C]0.06281841198298[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119869&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119869&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
0.0110.07567520746510.0486001651192886
0.0210.10721168935770.0332060131634581
0.0310.13443139963260.0395062134708094
0.0410.16181268632520.0594832405930881
0.0510.19500461504620.0854752265715995
0.0610.23621150798450.112190960706328
0.0710.28462006374890.133443579632071
0.0810.33735716512220.144160464341245
0.0910.39054582936280.142778250860868
0.110.4405358651660.131634068026624
0.1110.48491408676320.11555072113039
0.1210.52291446025510.099701662320755
0.1310.55520066590610.087985391781001
0.1410.58327737299840.0821167343571735
0.1510.60884887145380.0815531012759955
0.1610.63334446702950.0843759594160687
0.1710.65768660373350.0884529551777458
0.1810.68226977390220.0921500440243066
0.1910.70706995934110.094422931633542
0.210.73180380263110.0948628872230567
0.2110.75608051489670.0934513264579138
0.2210.77951782008370.0905067539445464
0.2310.80181503127380.0864414032247366
0.2410.82278866990060.0817864034326667
0.2510.84238061737070.0770529823560006
0.2610.86064891778290.0727008548763645
0.2710.87774982565280.0691103411521096
0.2810.89391800110070.0666216002366917
0.2910.9094501488490.0655008226941818
0.310.92469546192190.0659787559786626
0.3110.94005358581350.0683474173126827
0.3210.95597763047170.072936673599081
0.3310.97297684389240.0801064151714994
0.3410.99161206008850.0901513824029854
0.3511.01247781869480.10324497630177
0.3611.03616821160760.119265442198537
0.3711.06322817562660.13777553465984
0.3811.09409657868630.158055941598376
0.3911.12905044496940.179126738958093
0.411.16816004017010.199881262004238
0.4111.21126230372310.219123314592694
0.4211.25795623603940.235750346773642
0.4311.30761978574390.248784531220536
0.4411.35944483684510.257501033944931
0.4511.41248567707010.261334185106919
0.4611.46571657443720.260059178316252
0.4711.51809491655610.253671231799506
0.4811.56862680456230.242567767702665
0.4911.61643152057240.227388462268035
0.511.66080010993560.209015067627669
0.5111.70124224897930.188603973994537
0.5211.73751557810520.167415353172781
0.5311.76963336591160.146719849555213
0.5411.79784959579990.12766661749401
0.5511.82262445746460.111263848606391
0.5611.84457651600310.0982091298948705
0.5711.86442939679920.0890007514076758
0.5811.88296015743470.0838149753288682
0.5911.90095394380210.0825918618799329
0.611.91916607973140.085044593138462
0.6111.93828975898490.0906951319785679
0.6211.95892613326250.0989629517973178
0.6311.98155432607530.10911676792237
0.6412.00650142910320.120302857809665
0.6512.03391580698520.131608551521168
0.6612.06374963419120.142063962733442
0.6712.09575724022080.150723458919634
0.6812.12951390560840.156857059661839
0.6912.16445553016740.159916533894924
0.712.19993432321250.159717382524868
0.7112.2352811620350.156384017608014
0.7212.26986330092550.150296648248252
0.7312.30312770504650.141997220540841
0.7412.33462517588680.132087281419136
0.7512.36401701509580.121122522900913
0.7612.39107172908320.109562318380026
0.7712.415661706550.0977900642585663
0.7812.43776748768970.0861957026745684
0.7912.45749068118890.0752397503761863
0.812.47506835969480.0654124872106701
0.8112.49087583741720.0573074569208537
0.8212.50540486642240.0514254875552822
0.8312.51921206675280.0479739943175643
0.8412.53284576178840.0467623004937851
0.8512.54677271262380.0471470156126409
0.8612.56133268415480.0483234621049896
0.8712.57674394149270.0496514962128151
0.8812.59316727501420.0508914068452377
0.8912.610814180530.0522057148981027
0.912.630059450770.0541840255873522
0.9112.65149040680530.0575065505757537
0.9212.6758032504190.0624049683745606
0.9312.70347614145840.0679315504918748
0.9412.73426775901290.0715658565510539
0.9512.7668553265070.0700018649706699
0.9612.79930198239580.0613254894859019
0.9712.83113338111490.0482819313078707
0.9812.86588024350930.0434297858706455
0.9912.90681993293070.06281841198298


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')