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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 computationFri, 11 Oct 2013 15:11:47 -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/2013/Oct/11/t1381518731raumk5bex1lnf7s.htm/, Retrieved Sun, 28 Apr 2024 17:35:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=214833, Retrieved Sun, 28 Apr 2024 17:35:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact84

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] [] [2013-10-11 19:11:47] [bcda2273799249ef8721f6589a0ab562] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
38.95
38.96
38.93
38.86
38.75
38.87
38.87
38.86
38.83
39.08
39.05
38.97
38.97
38.95
38.95
38.92
38.96
38.97
38.97
38.95
38.93
38.76
38.81
38.81
38.81
38.78
38.77
38.61
38.69
38.69
38.68
38.74
38.73
38.62
38.57
38.57
38.57
38.57
38.56
38.55
38.42
38.47
38.47
38.48
38.45
38.43
38.43
38.48
38.48
38.48
38.51
38.48
38.55
38.55
38.55
38.49
38.37
38.14
38.08
38.04
38.04
38.03
37.98
38.03
38.05
38.05
38.05
38.05
38.02
38.06
38.01
38
38
38
37.99
37.96
37.96
38.02
38.02
38.02
38
37.93
38
38
38
38
38
38.01
37.98
38
38
38
37.95
37.87
37.75
37.75

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'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=214833&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=214833&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=214833&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0137.76818743526790.0456070931812521
0.0237.80928474388110.0776016602769116
0.0337.85842253267030.0748618292841695
0.0437.90045837127940.056279253687434
0.0537.9302798980840.0387114925546479
0.0637.94985666952910.0274037088055728
0.0737.9629006336490.0214132825779684
0.0837.97224161622640.0181451415430525
0.0937.97943396357230.0157270792716609
0.137.98516270650290.0133200650562945
0.1137.98969466186240.0107683341286878
0.1237.99316639951330.00824446031881025
0.1337.99571726267530.00601919944084281
0.1437.99752502385410.00424999075357537
0.1537.99879537433620.00305907340593756
0.1637.99973811431750.00256959183227879
0.1738.00054637113550.00274674298005862
0.1838.00138382832120.00342671761392894
0.1938.00237900943870.0044876260972082
0.238.00362404921470.00580455149078369
0.2138.0051762746830.00721136011835946
0.2238.0070624071510.00869359205096745
0.2338.00928602522740.01014004825858
0.2438.01183879801150.0115151866202666
0.2538.01471531328850.0128825268102581
0.2638.01793066384410.0144402938594827
0.2738.02153959187970.0164178435610039
0.2838.0256557546630.0191200181889222
0.2938.03046914486960.0229983085452326
0.338.03625860710070.0285314726435296
0.3138.04339496138570.036276774404792
0.3238.05232926426360.0464424433657589
0.3338.06356127984480.0591781672814403
0.3438.07758610714240.0744081669285643
0.3538.09482210357950.0913667436122371
0.3638.11552963742560.109164613202419
0.3738.13973575990960.12630606392457
0.3838.16718234082230.141446438315857
0.3938.19731297869580.153053366109793
0.438.22930696438150.159971689196251
0.4138.26215834940420.161547004013166
0.4238.29478762317360.15776004882012
0.4338.3261657815040.149056649608647
0.4438.35542794598050.136568933222274
0.4538.38195677281250.12169115406432
0.4638.40542347853170.105896660627748
0.4738.42578397708280.0905527149978886
0.4838.44323664734220.0767184545627852
0.4938.45815453178410.0651381179212735
0.538.47100734938250.0562115323680934
0.5138.48228778815680.0497679285748874
0.5238.49245310310050.0456715417293831
0.5338.5018883301880.0431939883466349
0.5438.51089254749840.041889408707081
0.5538.51968536135160.0414052777498698
0.5638.52842765011630.0413624106563279
0.5738.53724882708180.0418188459062523
0.5838.5462726089780.0427001432478888
0.5938.55563447892090.0443656054383572
0.638.56548650225470.046738418915409
0.6138.5759884508740.0500048852485987
0.6238.58728766609340.0539205051955826
0.6338.599492985720.058286047821014
0.6438.6126496861050.0626153941489797
0.6538.62672230969110.0665255467891726
0.6638.64159043640040.0695530924770127
0.6738.65705934673360.0714476909655984
0.6838.67288392453780.0719957292995635
0.6938.68880102596340.0712588646945194
0.738.70456373558120.0693549160825184
0.7138.71997088240360.0665970779933516
0.7238.73488680300830.0633953887106031
0.7338.74924902960560.0600142511085454
0.7438.76306448217290.0568723047180217
0.7538.77639700512630.0541259237565175
0.7638.78935013392220.0518696850625084
0.7738.8020486439180.0501874095484416
0.7838.81462099047890.0490601791992244
0.7938.82718283021190.0483517836195512
0.838.83982031444160.0479200861927673
0.8138.8525717271220.0475892042192652
0.8238.86540793325240.0470890816813409
0.8338.87821575573560.0460979644437388
0.8438.89079224073580.0442746234585371
0.8538.90285915242150.0413976247561365
0.8638.91410342122110.0373873302032114
0.8738.92424004126330.0324498266779956
0.8838.93308173819750.0270568252107804
0.8938.94059037933060.0217799732547624
0.938.94688558340640.0172224169562409
0.9138.95220220470390.0137230101989473
0.9238.95682404139010.0113155192503861
0.9338.9610767828870.00970324333587464
0.9438.96552236329820.00891913382549995
0.9538.97147255693350.0105633225287166
0.9638.98160681020060.0180339538387259
0.9738.99965519304740.0317772441625594
0.9839.02744928235020.0439790168315288
0.9939.0593085712340.0411496552406679

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 37.7681874352679 & 0.0456070931812521 \tabularnewline
0.02 & 37.8092847438811 & 0.0776016602769116 \tabularnewline
0.03 & 37.8584225326703 & 0.0748618292841695 \tabularnewline
0.04 & 37.9004583712794 & 0.056279253687434 \tabularnewline
0.05 & 37.930279898084 & 0.0387114925546479 \tabularnewline
0.06 & 37.9498566695291 & 0.0274037088055728 \tabularnewline
0.07 & 37.962900633649 & 0.0214132825779684 \tabularnewline
0.08 & 37.9722416162264 & 0.0181451415430525 \tabularnewline
0.09 & 37.9794339635723 & 0.0157270792716609 \tabularnewline
0.1 & 37.9851627065029 & 0.0133200650562945 \tabularnewline
0.11 & 37.9896946618624 & 0.0107683341286878 \tabularnewline
0.12 & 37.9931663995133 & 0.00824446031881025 \tabularnewline
0.13 & 37.9957172626753 & 0.00601919944084281 \tabularnewline
0.14 & 37.9975250238541 & 0.00424999075357537 \tabularnewline
0.15 & 37.9987953743362 & 0.00305907340593756 \tabularnewline
0.16 & 37.9997381143175 & 0.00256959183227879 \tabularnewline
0.17 & 38.0005463711355 & 0.00274674298005862 \tabularnewline
0.18 & 38.0013838283212 & 0.00342671761392894 \tabularnewline
0.19 & 38.0023790094387 & 0.0044876260972082 \tabularnewline
0.2 & 38.0036240492147 & 0.00580455149078369 \tabularnewline
0.21 & 38.005176274683 & 0.00721136011835946 \tabularnewline
0.22 & 38.007062407151 & 0.00869359205096745 \tabularnewline
0.23 & 38.0092860252274 & 0.01014004825858 \tabularnewline
0.24 & 38.0118387980115 & 0.0115151866202666 \tabularnewline
0.25 & 38.0147153132885 & 0.0128825268102581 \tabularnewline
0.26 & 38.0179306638441 & 0.0144402938594827 \tabularnewline
0.27 & 38.0215395918797 & 0.0164178435610039 \tabularnewline
0.28 & 38.025655754663 & 0.0191200181889222 \tabularnewline
0.29 & 38.0304691448696 & 0.0229983085452326 \tabularnewline
0.3 & 38.0362586071007 & 0.0285314726435296 \tabularnewline
0.31 & 38.0433949613857 & 0.036276774404792 \tabularnewline
0.32 & 38.0523292642636 & 0.0464424433657589 \tabularnewline
0.33 & 38.0635612798448 & 0.0591781672814403 \tabularnewline
0.34 & 38.0775861071424 & 0.0744081669285643 \tabularnewline
0.35 & 38.0948221035795 & 0.0913667436122371 \tabularnewline
0.36 & 38.1155296374256 & 0.109164613202419 \tabularnewline
0.37 & 38.1397357599096 & 0.12630606392457 \tabularnewline
0.38 & 38.1671823408223 & 0.141446438315857 \tabularnewline
0.39 & 38.1973129786958 & 0.153053366109793 \tabularnewline
0.4 & 38.2293069643815 & 0.159971689196251 \tabularnewline
0.41 & 38.2621583494042 & 0.161547004013166 \tabularnewline
0.42 & 38.2947876231736 & 0.15776004882012 \tabularnewline
0.43 & 38.326165781504 & 0.149056649608647 \tabularnewline
0.44 & 38.3554279459805 & 0.136568933222274 \tabularnewline
0.45 & 38.3819567728125 & 0.12169115406432 \tabularnewline
0.46 & 38.4054234785317 & 0.105896660627748 \tabularnewline
0.47 & 38.4257839770828 & 0.0905527149978886 \tabularnewline
0.48 & 38.4432366473422 & 0.0767184545627852 \tabularnewline
0.49 & 38.4581545317841 & 0.0651381179212735 \tabularnewline
0.5 & 38.4710073493825 & 0.0562115323680934 \tabularnewline
0.51 & 38.4822877881568 & 0.0497679285748874 \tabularnewline
0.52 & 38.4924531031005 & 0.0456715417293831 \tabularnewline
0.53 & 38.501888330188 & 0.0431939883466349 \tabularnewline
0.54 & 38.5108925474984 & 0.041889408707081 \tabularnewline
0.55 & 38.5196853613516 & 0.0414052777498698 \tabularnewline
0.56 & 38.5284276501163 & 0.0413624106563279 \tabularnewline
0.57 & 38.5372488270818 & 0.0418188459062523 \tabularnewline
0.58 & 38.546272608978 & 0.0427001432478888 \tabularnewline
0.59 & 38.5556344789209 & 0.0443656054383572 \tabularnewline
0.6 & 38.5654865022547 & 0.046738418915409 \tabularnewline
0.61 & 38.575988450874 & 0.0500048852485987 \tabularnewline
0.62 & 38.5872876660934 & 0.0539205051955826 \tabularnewline
0.63 & 38.59949298572 & 0.058286047821014 \tabularnewline
0.64 & 38.612649686105 & 0.0626153941489797 \tabularnewline
0.65 & 38.6267223096911 & 0.0665255467891726 \tabularnewline
0.66 & 38.6415904364004 & 0.0695530924770127 \tabularnewline
0.67 & 38.6570593467336 & 0.0714476909655984 \tabularnewline
0.68 & 38.6728839245378 & 0.0719957292995635 \tabularnewline
0.69 & 38.6888010259634 & 0.0712588646945194 \tabularnewline
0.7 & 38.7045637355812 & 0.0693549160825184 \tabularnewline
0.71 & 38.7199708824036 & 0.0665970779933516 \tabularnewline
0.72 & 38.7348868030083 & 0.0633953887106031 \tabularnewline
0.73 & 38.7492490296056 & 0.0600142511085454 \tabularnewline
0.74 & 38.7630644821729 & 0.0568723047180217 \tabularnewline
0.75 & 38.7763970051263 & 0.0541259237565175 \tabularnewline
0.76 & 38.7893501339222 & 0.0518696850625084 \tabularnewline
0.77 & 38.802048643918 & 0.0501874095484416 \tabularnewline
0.78 & 38.8146209904789 & 0.0490601791992244 \tabularnewline
0.79 & 38.8271828302119 & 0.0483517836195512 \tabularnewline
0.8 & 38.8398203144416 & 0.0479200861927673 \tabularnewline
0.81 & 38.852571727122 & 0.0475892042192652 \tabularnewline
0.82 & 38.8654079332524 & 0.0470890816813409 \tabularnewline
0.83 & 38.8782157557356 & 0.0460979644437388 \tabularnewline
0.84 & 38.8907922407358 & 0.0442746234585371 \tabularnewline
0.85 & 38.9028591524215 & 0.0413976247561365 \tabularnewline
0.86 & 38.9141034212211 & 0.0373873302032114 \tabularnewline
0.87 & 38.9242400412633 & 0.0324498266779956 \tabularnewline
0.88 & 38.9330817381975 & 0.0270568252107804 \tabularnewline
0.89 & 38.9405903793306 & 0.0217799732547624 \tabularnewline
0.9 & 38.9468855834064 & 0.0172224169562409 \tabularnewline
0.91 & 38.9522022047039 & 0.0137230101989473 \tabularnewline
0.92 & 38.9568240413901 & 0.0113155192503861 \tabularnewline
0.93 & 38.961076782887 & 0.00970324333587464 \tabularnewline
0.94 & 38.9655223632982 & 0.00891913382549995 \tabularnewline
0.95 & 38.9714725569335 & 0.0105633225287166 \tabularnewline
0.96 & 38.9816068102006 & 0.0180339538387259 \tabularnewline
0.97 & 38.9996551930474 & 0.0317772441625594 \tabularnewline
0.98 & 39.0274492823502 & 0.0439790168315288 \tabularnewline
0.99 & 39.059308571234 & 0.0411496552406679 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=214833&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]37.7681874352679[/C][C]0.0456070931812521[/C][/ROW]
[ROW][C]0.02[/C][C]37.8092847438811[/C][C]0.0776016602769116[/C][/ROW]
[ROW][C]0.03[/C][C]37.8584225326703[/C][C]0.0748618292841695[/C][/ROW]
[ROW][C]0.04[/C][C]37.9004583712794[/C][C]0.056279253687434[/C][/ROW]
[ROW][C]0.05[/C][C]37.930279898084[/C][C]0.0387114925546479[/C][/ROW]
[ROW][C]0.06[/C][C]37.9498566695291[/C][C]0.0274037088055728[/C][/ROW]
[ROW][C]0.07[/C][C]37.962900633649[/C][C]0.0214132825779684[/C][/ROW]
[ROW][C]0.08[/C][C]37.9722416162264[/C][C]0.0181451415430525[/C][/ROW]
[ROW][C]0.09[/C][C]37.9794339635723[/C][C]0.0157270792716609[/C][/ROW]
[ROW][C]0.1[/C][C]37.9851627065029[/C][C]0.0133200650562945[/C][/ROW]
[ROW][C]0.11[/C][C]37.9896946618624[/C][C]0.0107683341286878[/C][/ROW]
[ROW][C]0.12[/C][C]37.9931663995133[/C][C]0.00824446031881025[/C][/ROW]
[ROW][C]0.13[/C][C]37.9957172626753[/C][C]0.00601919944084281[/C][/ROW]
[ROW][C]0.14[/C][C]37.9975250238541[/C][C]0.00424999075357537[/C][/ROW]
[ROW][C]0.15[/C][C]37.9987953743362[/C][C]0.00305907340593756[/C][/ROW]
[ROW][C]0.16[/C][C]37.9997381143175[/C][C]0.00256959183227879[/C][/ROW]
[ROW][C]0.17[/C][C]38.0005463711355[/C][C]0.00274674298005862[/C][/ROW]
[ROW][C]0.18[/C][C]38.0013838283212[/C][C]0.00342671761392894[/C][/ROW]
[ROW][C]0.19[/C][C]38.0023790094387[/C][C]0.0044876260972082[/C][/ROW]
[ROW][C]0.2[/C][C]38.0036240492147[/C][C]0.00580455149078369[/C][/ROW]
[ROW][C]0.21[/C][C]38.005176274683[/C][C]0.00721136011835946[/C][/ROW]
[ROW][C]0.22[/C][C]38.007062407151[/C][C]0.00869359205096745[/C][/ROW]
[ROW][C]0.23[/C][C]38.0092860252274[/C][C]0.01014004825858[/C][/ROW]
[ROW][C]0.24[/C][C]38.0118387980115[/C][C]0.0115151866202666[/C][/ROW]
[ROW][C]0.25[/C][C]38.0147153132885[/C][C]0.0128825268102581[/C][/ROW]
[ROW][C]0.26[/C][C]38.0179306638441[/C][C]0.0144402938594827[/C][/ROW]
[ROW][C]0.27[/C][C]38.0215395918797[/C][C]0.0164178435610039[/C][/ROW]
[ROW][C]0.28[/C][C]38.025655754663[/C][C]0.0191200181889222[/C][/ROW]
[ROW][C]0.29[/C][C]38.0304691448696[/C][C]0.0229983085452326[/C][/ROW]
[ROW][C]0.3[/C][C]38.0362586071007[/C][C]0.0285314726435296[/C][/ROW]
[ROW][C]0.31[/C][C]38.0433949613857[/C][C]0.036276774404792[/C][/ROW]
[ROW][C]0.32[/C][C]38.0523292642636[/C][C]0.0464424433657589[/C][/ROW]
[ROW][C]0.33[/C][C]38.0635612798448[/C][C]0.0591781672814403[/C][/ROW]
[ROW][C]0.34[/C][C]38.0775861071424[/C][C]0.0744081669285643[/C][/ROW]
[ROW][C]0.35[/C][C]38.0948221035795[/C][C]0.0913667436122371[/C][/ROW]
[ROW][C]0.36[/C][C]38.1155296374256[/C][C]0.109164613202419[/C][/ROW]
[ROW][C]0.37[/C][C]38.1397357599096[/C][C]0.12630606392457[/C][/ROW]
[ROW][C]0.38[/C][C]38.1671823408223[/C][C]0.141446438315857[/C][/ROW]
[ROW][C]0.39[/C][C]38.1973129786958[/C][C]0.153053366109793[/C][/ROW]
[ROW][C]0.4[/C][C]38.2293069643815[/C][C]0.159971689196251[/C][/ROW]
[ROW][C]0.41[/C][C]38.2621583494042[/C][C]0.161547004013166[/C][/ROW]
[ROW][C]0.42[/C][C]38.2947876231736[/C][C]0.15776004882012[/C][/ROW]
[ROW][C]0.43[/C][C]38.326165781504[/C][C]0.149056649608647[/C][/ROW]
[ROW][C]0.44[/C][C]38.3554279459805[/C][C]0.136568933222274[/C][/ROW]
[ROW][C]0.45[/C][C]38.3819567728125[/C][C]0.12169115406432[/C][/ROW]
[ROW][C]0.46[/C][C]38.4054234785317[/C][C]0.105896660627748[/C][/ROW]
[ROW][C]0.47[/C][C]38.4257839770828[/C][C]0.0905527149978886[/C][/ROW]
[ROW][C]0.48[/C][C]38.4432366473422[/C][C]0.0767184545627852[/C][/ROW]
[ROW][C]0.49[/C][C]38.4581545317841[/C][C]0.0651381179212735[/C][/ROW]
[ROW][C]0.5[/C][C]38.4710073493825[/C][C]0.0562115323680934[/C][/ROW]
[ROW][C]0.51[/C][C]38.4822877881568[/C][C]0.0497679285748874[/C][/ROW]
[ROW][C]0.52[/C][C]38.4924531031005[/C][C]0.0456715417293831[/C][/ROW]
[ROW][C]0.53[/C][C]38.501888330188[/C][C]0.0431939883466349[/C][/ROW]
[ROW][C]0.54[/C][C]38.5108925474984[/C][C]0.041889408707081[/C][/ROW]
[ROW][C]0.55[/C][C]38.5196853613516[/C][C]0.0414052777498698[/C][/ROW]
[ROW][C]0.56[/C][C]38.5284276501163[/C][C]0.0413624106563279[/C][/ROW]
[ROW][C]0.57[/C][C]38.5372488270818[/C][C]0.0418188459062523[/C][/ROW]
[ROW][C]0.58[/C][C]38.546272608978[/C][C]0.0427001432478888[/C][/ROW]
[ROW][C]0.59[/C][C]38.5556344789209[/C][C]0.0443656054383572[/C][/ROW]
[ROW][C]0.6[/C][C]38.5654865022547[/C][C]0.046738418915409[/C][/ROW]
[ROW][C]0.61[/C][C]38.575988450874[/C][C]0.0500048852485987[/C][/ROW]
[ROW][C]0.62[/C][C]38.5872876660934[/C][C]0.0539205051955826[/C][/ROW]
[ROW][C]0.63[/C][C]38.59949298572[/C][C]0.058286047821014[/C][/ROW]
[ROW][C]0.64[/C][C]38.612649686105[/C][C]0.0626153941489797[/C][/ROW]
[ROW][C]0.65[/C][C]38.6267223096911[/C][C]0.0665255467891726[/C][/ROW]
[ROW][C]0.66[/C][C]38.6415904364004[/C][C]0.0695530924770127[/C][/ROW]
[ROW][C]0.67[/C][C]38.6570593467336[/C][C]0.0714476909655984[/C][/ROW]
[ROW][C]0.68[/C][C]38.6728839245378[/C][C]0.0719957292995635[/C][/ROW]
[ROW][C]0.69[/C][C]38.6888010259634[/C][C]0.0712588646945194[/C][/ROW]
[ROW][C]0.7[/C][C]38.7045637355812[/C][C]0.0693549160825184[/C][/ROW]
[ROW][C]0.71[/C][C]38.7199708824036[/C][C]0.0665970779933516[/C][/ROW]
[ROW][C]0.72[/C][C]38.7348868030083[/C][C]0.0633953887106031[/C][/ROW]
[ROW][C]0.73[/C][C]38.7492490296056[/C][C]0.0600142511085454[/C][/ROW]
[ROW][C]0.74[/C][C]38.7630644821729[/C][C]0.0568723047180217[/C][/ROW]
[ROW][C]0.75[/C][C]38.7763970051263[/C][C]0.0541259237565175[/C][/ROW]
[ROW][C]0.76[/C][C]38.7893501339222[/C][C]0.0518696850625084[/C][/ROW]
[ROW][C]0.77[/C][C]38.802048643918[/C][C]0.0501874095484416[/C][/ROW]
[ROW][C]0.78[/C][C]38.8146209904789[/C][C]0.0490601791992244[/C][/ROW]
[ROW][C]0.79[/C][C]38.8271828302119[/C][C]0.0483517836195512[/C][/ROW]
[ROW][C]0.8[/C][C]38.8398203144416[/C][C]0.0479200861927673[/C][/ROW]
[ROW][C]0.81[/C][C]38.852571727122[/C][C]0.0475892042192652[/C][/ROW]
[ROW][C]0.82[/C][C]38.8654079332524[/C][C]0.0470890816813409[/C][/ROW]
[ROW][C]0.83[/C][C]38.8782157557356[/C][C]0.0460979644437388[/C][/ROW]
[ROW][C]0.84[/C][C]38.8907922407358[/C][C]0.0442746234585371[/C][/ROW]
[ROW][C]0.85[/C][C]38.9028591524215[/C][C]0.0413976247561365[/C][/ROW]
[ROW][C]0.86[/C][C]38.9141034212211[/C][C]0.0373873302032114[/C][/ROW]
[ROW][C]0.87[/C][C]38.9242400412633[/C][C]0.0324498266779956[/C][/ROW]
[ROW][C]0.88[/C][C]38.9330817381975[/C][C]0.0270568252107804[/C][/ROW]
[ROW][C]0.89[/C][C]38.9405903793306[/C][C]0.0217799732547624[/C][/ROW]
[ROW][C]0.9[/C][C]38.9468855834064[/C][C]0.0172224169562409[/C][/ROW]
[ROW][C]0.91[/C][C]38.9522022047039[/C][C]0.0137230101989473[/C][/ROW]
[ROW][C]0.92[/C][C]38.9568240413901[/C][C]0.0113155192503861[/C][/ROW]
[ROW][C]0.93[/C][C]38.961076782887[/C][C]0.00970324333587464[/C][/ROW]
[ROW][C]0.94[/C][C]38.9655223632982[/C][C]0.00891913382549995[/C][/ROW]
[ROW][C]0.95[/C][C]38.9714725569335[/C][C]0.0105633225287166[/C][/ROW]
[ROW][C]0.96[/C][C]38.9816068102006[/C][C]0.0180339538387259[/C][/ROW]
[ROW][C]0.97[/C][C]38.9996551930474[/C][C]0.0317772441625594[/C][/ROW]
[ROW][C]0.98[/C][C]39.0274492823502[/C][C]0.0439790168315288[/C][/ROW]
[ROW][C]0.99[/C][C]39.059308571234[/C][C]0.0411496552406679[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=214833&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=214833&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
0.0137.76818743526790.0456070931812521
0.0237.80928474388110.0776016602769116
0.0337.85842253267030.0748618292841695
0.0437.90045837127940.056279253687434
0.0537.9302798980840.0387114925546479
0.0637.94985666952910.0274037088055728
0.0737.9629006336490.0214132825779684
0.0837.97224161622640.0181451415430525
0.0937.97943396357230.0157270792716609
0.137.98516270650290.0133200650562945
0.1137.98969466186240.0107683341286878
0.1237.99316639951330.00824446031881025
0.1337.99571726267530.00601919944084281
0.1437.99752502385410.00424999075357537
0.1537.99879537433620.00305907340593756
0.1637.99973811431750.00256959183227879
0.1738.00054637113550.00274674298005862
0.1838.00138382832120.00342671761392894
0.1938.00237900943870.0044876260972082
0.238.00362404921470.00580455149078369
0.2138.0051762746830.00721136011835946
0.2238.0070624071510.00869359205096745
0.2338.00928602522740.01014004825858
0.2438.01183879801150.0115151866202666
0.2538.01471531328850.0128825268102581
0.2638.01793066384410.0144402938594827
0.2738.02153959187970.0164178435610039
0.2838.0256557546630.0191200181889222
0.2938.03046914486960.0229983085452326
0.338.03625860710070.0285314726435296
0.3138.04339496138570.036276774404792
0.3238.05232926426360.0464424433657589
0.3338.06356127984480.0591781672814403
0.3438.07758610714240.0744081669285643
0.3538.09482210357950.0913667436122371
0.3638.11552963742560.109164613202419
0.3738.13973575990960.12630606392457
0.3838.16718234082230.141446438315857
0.3938.19731297869580.153053366109793
0.438.22930696438150.159971689196251
0.4138.26215834940420.161547004013166
0.4238.29478762317360.15776004882012
0.4338.3261657815040.149056649608647
0.4438.35542794598050.136568933222274
0.4538.38195677281250.12169115406432
0.4638.40542347853170.105896660627748
0.4738.42578397708280.0905527149978886
0.4838.44323664734220.0767184545627852
0.4938.45815453178410.0651381179212735
0.538.47100734938250.0562115323680934
0.5138.48228778815680.0497679285748874
0.5238.49245310310050.0456715417293831
0.5338.5018883301880.0431939883466349
0.5438.51089254749840.041889408707081
0.5538.51968536135160.0414052777498698
0.5638.52842765011630.0413624106563279
0.5738.53724882708180.0418188459062523
0.5838.5462726089780.0427001432478888
0.5938.55563447892090.0443656054383572
0.638.56548650225470.046738418915409
0.6138.5759884508740.0500048852485987
0.6238.58728766609340.0539205051955826
0.6338.599492985720.058286047821014
0.6438.6126496861050.0626153941489797
0.6538.62672230969110.0665255467891726
0.6638.64159043640040.0695530924770127
0.6738.65705934673360.0714476909655984
0.6838.67288392453780.0719957292995635
0.6938.68880102596340.0712588646945194
0.738.70456373558120.0693549160825184
0.7138.71997088240360.0665970779933516
0.7238.73488680300830.0633953887106031
0.7338.74924902960560.0600142511085454
0.7438.76306448217290.0568723047180217
0.7538.77639700512630.0541259237565175
0.7638.78935013392220.0518696850625084
0.7738.8020486439180.0501874095484416
0.7838.81462099047890.0490601791992244
0.7938.82718283021190.0483517836195512
0.838.83982031444160.0479200861927673
0.8138.8525717271220.0475892042192652
0.8238.86540793325240.0470890816813409
0.8338.87821575573560.0460979644437388
0.8438.89079224073580.0442746234585371
0.8538.90285915242150.0413976247561365
0.8638.91410342122110.0373873302032114
0.8738.92424004126330.0324498266779956
0.8838.93308173819750.0270568252107804
0.8938.94059037933060.0217799732547624
0.938.94688558340640.0172224169562409
0.9138.95220220470390.0137230101989473
0.9238.95682404139010.0113155192503861
0.9338.9610767828870.00970324333587464
0.9438.96552236329820.00891913382549995
0.9538.97147255693350.0105633225287166
0.9638.98160681020060.0180339538387259
0.9738.99965519304740.0317772441625594
0.9839.02744928235020.0439790168315288
0.9939.0593085712340.0411496552406679


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')