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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 Oct 2012 08:51:12 -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/2012/Oct/09/t1349787162w8nsfrrvxiuukm9.htm/, Retrieved Wed, 01 May 2024 22:43:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174565, Retrieved Wed, 01 May 2024 22:43:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

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] [] [2012-10-09 12:51:12] [c9eeded7548c00546c4c5f04921b1379] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102,89
102,64
103,33
103,56
103,6
104,24
105,31
105,4
105,89
105,89
105,54
106,15
106,14
105,85
106,27
106,51
106,82
106,53
107,14
107,39
107,33
107,53
107,42
108,25
108,26
108,93
109,43
109,61
109,74
110,12
110,16
110,44
111,23
112,86
112,77
113,04
112,79
113,87
114,28
115,51
116,76
116,91
116,47
116,94
117,24
116,82
117,48
117,11
117,31
117,77
118,37
117,91
118,12
118,02
117,77
117,85
118,68
118,9
118,6
118,21
118,37
117,43
117,5
116,71
116,98
117,74
117,44
117,85
118,54
118,73
118,68
118,19

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' @ 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174565&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174565&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174565&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01102.7457839322110.290382835752885
0.02102.9275215259780.363398147256592
0.03103.1473008213610.435991458399283
0.04103.3841897267520.518973626552926
0.05103.6342152919560.62349684028236
0.06103.8987665428130.730863848666831
0.07104.1757208615020.809586858055312
0.08104.4568452982370.838477275695233
0.09104.7301108546950.814467546097523
0.1104.9838606969840.7501383589071
0.11105.2101571038040.665064354163375
0.12105.4060981636140.578322984124985
0.13105.5732868280670.503856885486967
0.14105.7163143195070.448900011750774
0.15105.8411114342740.415465686934778
0.16105.953672962420.401901181394793
0.17106.059297278530.40475174184397
0.18106.1622615874750.420213808328687
0.19106.2657817099810.444559094767613
0.2106.3721242811130.474636249076242
0.21106.4827869419570.508242833380912
0.22106.5987020085250.543689931672873
0.23106.7204401383890.580356381576091
0.24106.8483965192290.618452729830847
0.25106.9829417438270.658562197410691
0.26107.1245203622880.701848684450271
0.27107.2736861320420.749407067541396
0.28107.4310743817820.801353659221856
0.29107.5973257832390.857508180131023
0.3107.7729877376720.916613369745302
0.31107.9584253040040.976951559981403
0.32108.1537707107871.03664627337015
0.33108.3589293308851.09448258030218
0.34108.5736435738721.14953241014755
0.35108.7975992120151.20225597733363
0.36109.030546149541.25350734518486
0.37109.2724011651341.30522269780244
0.38109.5233048511411.35929118158639
0.39109.7836172338051.41675653727343
0.4110.0538525733491.47870624833627
0.41110.3345687944761.54438215669182
0.42110.6262365619561.61259354227947
0.43110.9291146859341.68111204772413
0.44111.2431523839081.74747534405886
0.45111.5679275210761.80941357843721
0.46111.902617518581.86477959143038
0.47112.2459906011221.91144018975228
0.48112.596402599581.947877332523
0.49112.9517893882541.97210616950781
0.5113.3096552936321.98183585462006
0.51113.667069483061.97477722943793
0.52114.0206907562711.94849027636318
0.53114.3668425847131.9007155402139
0.54114.7016532044171.83038687184834
0.55115.0212614386671.7377054394802
0.56115.3220715309881.62447657914598
0.57115.60102467951.49439478877024
0.58115.8558458940871.3523940960487
0.59116.0852251375951.20450208451687
0.6116.2889016745821.05707826680432
0.61116.4676376787130.916131259082486
0.62116.6230871265060.786490648543295
0.63116.7575839660390.672047402215241
0.64116.8738854539710.574522554302664
0.65116.9749102095820.494649768594705
0.66117.0635060050480.431137763912612
0.67117.1422716679350.382154374822275
0.68117.2134440219350.345033318430423
0.69117.2788480592130.317084422952759
0.7117.3398992977620.295804953195124
0.71117.3976428990940.27919622417914
0.72117.4528143716750.265523510773378
0.73117.5059100146330.25381295971658
0.74117.5572594700120.243125239718244
0.75117.6070958527150.233129456205418
0.76117.6556198583530.22376282297806
0.77117.7030532739140.2150694712269
0.78117.7496758661910.207498548064081
0.79117.79583962050.201524792621804
0.8117.8419571765370.197547956062745
0.81117.888467101420.195551516961801
0.82117.9357856362810.195308748129363
0.83117.984259718610.196227903217579
0.84118.0341362781840.197428204757948
0.85118.0855563455980.198373854401954
0.86118.1385704191520.19856109696101
0.87118.1931578594220.19789890040305
0.88118.2492240800260.196328359157352
0.89118.3065517114040.193584238859797
0.9118.3647008219040.18914615558867
0.91118.4228900836440.181822305429635
0.92118.4799413924730.170256934054719
0.93118.5344234908560.153382017883142
0.94118.5851612535390.131600714839843
0.95118.632222926340.107558587940597
0.96118.6781767010230.0876301260530928
0.97118.7284619625240.0824416990404326
0.98118.7881494244570.101150369229078
0.99118.8527550203760.137044900692709

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.745783932211 & 0.290382835752885 \tabularnewline
0.02 & 102.927521525978 & 0.363398147256592 \tabularnewline
0.03 & 103.147300821361 & 0.435991458399283 \tabularnewline
0.04 & 103.384189726752 & 0.518973626552926 \tabularnewline
0.05 & 103.634215291956 & 0.62349684028236 \tabularnewline
0.06 & 103.898766542813 & 0.730863848666831 \tabularnewline
0.07 & 104.175720861502 & 0.809586858055312 \tabularnewline
0.08 & 104.456845298237 & 0.838477275695233 \tabularnewline
0.09 & 104.730110854695 & 0.814467546097523 \tabularnewline
0.1 & 104.983860696984 & 0.7501383589071 \tabularnewline
0.11 & 105.210157103804 & 0.665064354163375 \tabularnewline
0.12 & 105.406098163614 & 0.578322984124985 \tabularnewline
0.13 & 105.573286828067 & 0.503856885486967 \tabularnewline
0.14 & 105.716314319507 & 0.448900011750774 \tabularnewline
0.15 & 105.841111434274 & 0.415465686934778 \tabularnewline
0.16 & 105.95367296242 & 0.401901181394793 \tabularnewline
0.17 & 106.05929727853 & 0.40475174184397 \tabularnewline
0.18 & 106.162261587475 & 0.420213808328687 \tabularnewline
0.19 & 106.265781709981 & 0.444559094767613 \tabularnewline
0.2 & 106.372124281113 & 0.474636249076242 \tabularnewline
0.21 & 106.482786941957 & 0.508242833380912 \tabularnewline
0.22 & 106.598702008525 & 0.543689931672873 \tabularnewline
0.23 & 106.720440138389 & 0.580356381576091 \tabularnewline
0.24 & 106.848396519229 & 0.618452729830847 \tabularnewline
0.25 & 106.982941743827 & 0.658562197410691 \tabularnewline
0.26 & 107.124520362288 & 0.701848684450271 \tabularnewline
0.27 & 107.273686132042 & 0.749407067541396 \tabularnewline
0.28 & 107.431074381782 & 0.801353659221856 \tabularnewline
0.29 & 107.597325783239 & 0.857508180131023 \tabularnewline
0.3 & 107.772987737672 & 0.916613369745302 \tabularnewline
0.31 & 107.958425304004 & 0.976951559981403 \tabularnewline
0.32 & 108.153770710787 & 1.03664627337015 \tabularnewline
0.33 & 108.358929330885 & 1.09448258030218 \tabularnewline
0.34 & 108.573643573872 & 1.14953241014755 \tabularnewline
0.35 & 108.797599212015 & 1.20225597733363 \tabularnewline
0.36 & 109.03054614954 & 1.25350734518486 \tabularnewline
0.37 & 109.272401165134 & 1.30522269780244 \tabularnewline
0.38 & 109.523304851141 & 1.35929118158639 \tabularnewline
0.39 & 109.783617233805 & 1.41675653727343 \tabularnewline
0.4 & 110.053852573349 & 1.47870624833627 \tabularnewline
0.41 & 110.334568794476 & 1.54438215669182 \tabularnewline
0.42 & 110.626236561956 & 1.61259354227947 \tabularnewline
0.43 & 110.929114685934 & 1.68111204772413 \tabularnewline
0.44 & 111.243152383908 & 1.74747534405886 \tabularnewline
0.45 & 111.567927521076 & 1.80941357843721 \tabularnewline
0.46 & 111.90261751858 & 1.86477959143038 \tabularnewline
0.47 & 112.245990601122 & 1.91144018975228 \tabularnewline
0.48 & 112.59640259958 & 1.947877332523 \tabularnewline
0.49 & 112.951789388254 & 1.97210616950781 \tabularnewline
0.5 & 113.309655293632 & 1.98183585462006 \tabularnewline
0.51 & 113.66706948306 & 1.97477722943793 \tabularnewline
0.52 & 114.020690756271 & 1.94849027636318 \tabularnewline
0.53 & 114.366842584713 & 1.9007155402139 \tabularnewline
0.54 & 114.701653204417 & 1.83038687184834 \tabularnewline
0.55 & 115.021261438667 & 1.7377054394802 \tabularnewline
0.56 & 115.322071530988 & 1.62447657914598 \tabularnewline
0.57 & 115.6010246795 & 1.49439478877024 \tabularnewline
0.58 & 115.855845894087 & 1.3523940960487 \tabularnewline
0.59 & 116.085225137595 & 1.20450208451687 \tabularnewline
0.6 & 116.288901674582 & 1.05707826680432 \tabularnewline
0.61 & 116.467637678713 & 0.916131259082486 \tabularnewline
0.62 & 116.623087126506 & 0.786490648543295 \tabularnewline
0.63 & 116.757583966039 & 0.672047402215241 \tabularnewline
0.64 & 116.873885453971 & 0.574522554302664 \tabularnewline
0.65 & 116.974910209582 & 0.494649768594705 \tabularnewline
0.66 & 117.063506005048 & 0.431137763912612 \tabularnewline
0.67 & 117.142271667935 & 0.382154374822275 \tabularnewline
0.68 & 117.213444021935 & 0.345033318430423 \tabularnewline
0.69 & 117.278848059213 & 0.317084422952759 \tabularnewline
0.7 & 117.339899297762 & 0.295804953195124 \tabularnewline
0.71 & 117.397642899094 & 0.27919622417914 \tabularnewline
0.72 & 117.452814371675 & 0.265523510773378 \tabularnewline
0.73 & 117.505910014633 & 0.25381295971658 \tabularnewline
0.74 & 117.557259470012 & 0.243125239718244 \tabularnewline
0.75 & 117.607095852715 & 0.233129456205418 \tabularnewline
0.76 & 117.655619858353 & 0.22376282297806 \tabularnewline
0.77 & 117.703053273914 & 0.2150694712269 \tabularnewline
0.78 & 117.749675866191 & 0.207498548064081 \tabularnewline
0.79 & 117.7958396205 & 0.201524792621804 \tabularnewline
0.8 & 117.841957176537 & 0.197547956062745 \tabularnewline
0.81 & 117.88846710142 & 0.195551516961801 \tabularnewline
0.82 & 117.935785636281 & 0.195308748129363 \tabularnewline
0.83 & 117.98425971861 & 0.196227903217579 \tabularnewline
0.84 & 118.034136278184 & 0.197428204757948 \tabularnewline
0.85 & 118.085556345598 & 0.198373854401954 \tabularnewline
0.86 & 118.138570419152 & 0.19856109696101 \tabularnewline
0.87 & 118.193157859422 & 0.19789890040305 \tabularnewline
0.88 & 118.249224080026 & 0.196328359157352 \tabularnewline
0.89 & 118.306551711404 & 0.193584238859797 \tabularnewline
0.9 & 118.364700821904 & 0.18914615558867 \tabularnewline
0.91 & 118.422890083644 & 0.181822305429635 \tabularnewline
0.92 & 118.479941392473 & 0.170256934054719 \tabularnewline
0.93 & 118.534423490856 & 0.153382017883142 \tabularnewline
0.94 & 118.585161253539 & 0.131600714839843 \tabularnewline
0.95 & 118.63222292634 & 0.107558587940597 \tabularnewline
0.96 & 118.678176701023 & 0.0876301260530928 \tabularnewline
0.97 & 118.728461962524 & 0.0824416990404326 \tabularnewline
0.98 & 118.788149424457 & 0.101150369229078 \tabularnewline
0.99 & 118.852755020376 & 0.137044900692709 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174565&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]102.745783932211[/C][C]0.290382835752885[/C][/ROW]
[ROW][C]0.02[/C][C]102.927521525978[/C][C]0.363398147256592[/C][/ROW]
[ROW][C]0.03[/C][C]103.147300821361[/C][C]0.435991458399283[/C][/ROW]
[ROW][C]0.04[/C][C]103.384189726752[/C][C]0.518973626552926[/C][/ROW]
[ROW][C]0.05[/C][C]103.634215291956[/C][C]0.62349684028236[/C][/ROW]
[ROW][C]0.06[/C][C]103.898766542813[/C][C]0.730863848666831[/C][/ROW]
[ROW][C]0.07[/C][C]104.175720861502[/C][C]0.809586858055312[/C][/ROW]
[ROW][C]0.08[/C][C]104.456845298237[/C][C]0.838477275695233[/C][/ROW]
[ROW][C]0.09[/C][C]104.730110854695[/C][C]0.814467546097523[/C][/ROW]
[ROW][C]0.1[/C][C]104.983860696984[/C][C]0.7501383589071[/C][/ROW]
[ROW][C]0.11[/C][C]105.210157103804[/C][C]0.665064354163375[/C][/ROW]
[ROW][C]0.12[/C][C]105.406098163614[/C][C]0.578322984124985[/C][/ROW]
[ROW][C]0.13[/C][C]105.573286828067[/C][C]0.503856885486967[/C][/ROW]
[ROW][C]0.14[/C][C]105.716314319507[/C][C]0.448900011750774[/C][/ROW]
[ROW][C]0.15[/C][C]105.841111434274[/C][C]0.415465686934778[/C][/ROW]
[ROW][C]0.16[/C][C]105.95367296242[/C][C]0.401901181394793[/C][/ROW]
[ROW][C]0.17[/C][C]106.05929727853[/C][C]0.40475174184397[/C][/ROW]
[ROW][C]0.18[/C][C]106.162261587475[/C][C]0.420213808328687[/C][/ROW]
[ROW][C]0.19[/C][C]106.265781709981[/C][C]0.444559094767613[/C][/ROW]
[ROW][C]0.2[/C][C]106.372124281113[/C][C]0.474636249076242[/C][/ROW]
[ROW][C]0.21[/C][C]106.482786941957[/C][C]0.508242833380912[/C][/ROW]
[ROW][C]0.22[/C][C]106.598702008525[/C][C]0.543689931672873[/C][/ROW]
[ROW][C]0.23[/C][C]106.720440138389[/C][C]0.580356381576091[/C][/ROW]
[ROW][C]0.24[/C][C]106.848396519229[/C][C]0.618452729830847[/C][/ROW]
[ROW][C]0.25[/C][C]106.982941743827[/C][C]0.658562197410691[/C][/ROW]
[ROW][C]0.26[/C][C]107.124520362288[/C][C]0.701848684450271[/C][/ROW]
[ROW][C]0.27[/C][C]107.273686132042[/C][C]0.749407067541396[/C][/ROW]
[ROW][C]0.28[/C][C]107.431074381782[/C][C]0.801353659221856[/C][/ROW]
[ROW][C]0.29[/C][C]107.597325783239[/C][C]0.857508180131023[/C][/ROW]
[ROW][C]0.3[/C][C]107.772987737672[/C][C]0.916613369745302[/C][/ROW]
[ROW][C]0.31[/C][C]107.958425304004[/C][C]0.976951559981403[/C][/ROW]
[ROW][C]0.32[/C][C]108.153770710787[/C][C]1.03664627337015[/C][/ROW]
[ROW][C]0.33[/C][C]108.358929330885[/C][C]1.09448258030218[/C][/ROW]
[ROW][C]0.34[/C][C]108.573643573872[/C][C]1.14953241014755[/C][/ROW]
[ROW][C]0.35[/C][C]108.797599212015[/C][C]1.20225597733363[/C][/ROW]
[ROW][C]0.36[/C][C]109.03054614954[/C][C]1.25350734518486[/C][/ROW]
[ROW][C]0.37[/C][C]109.272401165134[/C][C]1.30522269780244[/C][/ROW]
[ROW][C]0.38[/C][C]109.523304851141[/C][C]1.35929118158639[/C][/ROW]
[ROW][C]0.39[/C][C]109.783617233805[/C][C]1.41675653727343[/C][/ROW]
[ROW][C]0.4[/C][C]110.053852573349[/C][C]1.47870624833627[/C][/ROW]
[ROW][C]0.41[/C][C]110.334568794476[/C][C]1.54438215669182[/C][/ROW]
[ROW][C]0.42[/C][C]110.626236561956[/C][C]1.61259354227947[/C][/ROW]
[ROW][C]0.43[/C][C]110.929114685934[/C][C]1.68111204772413[/C][/ROW]
[ROW][C]0.44[/C][C]111.243152383908[/C][C]1.74747534405886[/C][/ROW]
[ROW][C]0.45[/C][C]111.567927521076[/C][C]1.80941357843721[/C][/ROW]
[ROW][C]0.46[/C][C]111.90261751858[/C][C]1.86477959143038[/C][/ROW]
[ROW][C]0.47[/C][C]112.245990601122[/C][C]1.91144018975228[/C][/ROW]
[ROW][C]0.48[/C][C]112.59640259958[/C][C]1.947877332523[/C][/ROW]
[ROW][C]0.49[/C][C]112.951789388254[/C][C]1.97210616950781[/C][/ROW]
[ROW][C]0.5[/C][C]113.309655293632[/C][C]1.98183585462006[/C][/ROW]
[ROW][C]0.51[/C][C]113.66706948306[/C][C]1.97477722943793[/C][/ROW]
[ROW][C]0.52[/C][C]114.020690756271[/C][C]1.94849027636318[/C][/ROW]
[ROW][C]0.53[/C][C]114.366842584713[/C][C]1.9007155402139[/C][/ROW]
[ROW][C]0.54[/C][C]114.701653204417[/C][C]1.83038687184834[/C][/ROW]
[ROW][C]0.55[/C][C]115.021261438667[/C][C]1.7377054394802[/C][/ROW]
[ROW][C]0.56[/C][C]115.322071530988[/C][C]1.62447657914598[/C][/ROW]
[ROW][C]0.57[/C][C]115.6010246795[/C][C]1.49439478877024[/C][/ROW]
[ROW][C]0.58[/C][C]115.855845894087[/C][C]1.3523940960487[/C][/ROW]
[ROW][C]0.59[/C][C]116.085225137595[/C][C]1.20450208451687[/C][/ROW]
[ROW][C]0.6[/C][C]116.288901674582[/C][C]1.05707826680432[/C][/ROW]
[ROW][C]0.61[/C][C]116.467637678713[/C][C]0.916131259082486[/C][/ROW]
[ROW][C]0.62[/C][C]116.623087126506[/C][C]0.786490648543295[/C][/ROW]
[ROW][C]0.63[/C][C]116.757583966039[/C][C]0.672047402215241[/C][/ROW]
[ROW][C]0.64[/C][C]116.873885453971[/C][C]0.574522554302664[/C][/ROW]
[ROW][C]0.65[/C][C]116.974910209582[/C][C]0.494649768594705[/C][/ROW]
[ROW][C]0.66[/C][C]117.063506005048[/C][C]0.431137763912612[/C][/ROW]
[ROW][C]0.67[/C][C]117.142271667935[/C][C]0.382154374822275[/C][/ROW]
[ROW][C]0.68[/C][C]117.213444021935[/C][C]0.345033318430423[/C][/ROW]
[ROW][C]0.69[/C][C]117.278848059213[/C][C]0.317084422952759[/C][/ROW]
[ROW][C]0.7[/C][C]117.339899297762[/C][C]0.295804953195124[/C][/ROW]
[ROW][C]0.71[/C][C]117.397642899094[/C][C]0.27919622417914[/C][/ROW]
[ROW][C]0.72[/C][C]117.452814371675[/C][C]0.265523510773378[/C][/ROW]
[ROW][C]0.73[/C][C]117.505910014633[/C][C]0.25381295971658[/C][/ROW]
[ROW][C]0.74[/C][C]117.557259470012[/C][C]0.243125239718244[/C][/ROW]
[ROW][C]0.75[/C][C]117.607095852715[/C][C]0.233129456205418[/C][/ROW]
[ROW][C]0.76[/C][C]117.655619858353[/C][C]0.22376282297806[/C][/ROW]
[ROW][C]0.77[/C][C]117.703053273914[/C][C]0.2150694712269[/C][/ROW]
[ROW][C]0.78[/C][C]117.749675866191[/C][C]0.207498548064081[/C][/ROW]
[ROW][C]0.79[/C][C]117.7958396205[/C][C]0.201524792621804[/C][/ROW]
[ROW][C]0.8[/C][C]117.841957176537[/C][C]0.197547956062745[/C][/ROW]
[ROW][C]0.81[/C][C]117.88846710142[/C][C]0.195551516961801[/C][/ROW]
[ROW][C]0.82[/C][C]117.935785636281[/C][C]0.195308748129363[/C][/ROW]
[ROW][C]0.83[/C][C]117.98425971861[/C][C]0.196227903217579[/C][/ROW]
[ROW][C]0.84[/C][C]118.034136278184[/C][C]0.197428204757948[/C][/ROW]
[ROW][C]0.85[/C][C]118.085556345598[/C][C]0.198373854401954[/C][/ROW]
[ROW][C]0.86[/C][C]118.138570419152[/C][C]0.19856109696101[/C][/ROW]
[ROW][C]0.87[/C][C]118.193157859422[/C][C]0.19789890040305[/C][/ROW]
[ROW][C]0.88[/C][C]118.249224080026[/C][C]0.196328359157352[/C][/ROW]
[ROW][C]0.89[/C][C]118.306551711404[/C][C]0.193584238859797[/C][/ROW]
[ROW][C]0.9[/C][C]118.364700821904[/C][C]0.18914615558867[/C][/ROW]
[ROW][C]0.91[/C][C]118.422890083644[/C][C]0.181822305429635[/C][/ROW]
[ROW][C]0.92[/C][C]118.479941392473[/C][C]0.170256934054719[/C][/ROW]
[ROW][C]0.93[/C][C]118.534423490856[/C][C]0.153382017883142[/C][/ROW]
[ROW][C]0.94[/C][C]118.585161253539[/C][C]0.131600714839843[/C][/ROW]
[ROW][C]0.95[/C][C]118.63222292634[/C][C]0.107558587940597[/C][/ROW]
[ROW][C]0.96[/C][C]118.678176701023[/C][C]0.0876301260530928[/C][/ROW]
[ROW][C]0.97[/C][C]118.728461962524[/C][C]0.0824416990404326[/C][/ROW]
[ROW][C]0.98[/C][C]118.788149424457[/C][C]0.101150369229078[/C][/ROW]
[ROW][C]0.99[/C][C]118.852755020376[/C][C]0.137044900692709[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174565&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174565&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
0.01102.7457839322110.290382835752885
0.02102.9275215259780.363398147256592
0.03103.1473008213610.435991458399283
0.04103.3841897267520.518973626552926
0.05103.6342152919560.62349684028236
0.06103.8987665428130.730863848666831
0.07104.1757208615020.809586858055312
0.08104.4568452982370.838477275695233
0.09104.7301108546950.814467546097523
0.1104.9838606969840.7501383589071
0.11105.2101571038040.665064354163375
0.12105.4060981636140.578322984124985
0.13105.5732868280670.503856885486967
0.14105.7163143195070.448900011750774
0.15105.8411114342740.415465686934778
0.16105.953672962420.401901181394793
0.17106.059297278530.40475174184397
0.18106.1622615874750.420213808328687
0.19106.2657817099810.444559094767613
0.2106.3721242811130.474636249076242
0.21106.4827869419570.508242833380912
0.22106.5987020085250.543689931672873
0.23106.7204401383890.580356381576091
0.24106.8483965192290.618452729830847
0.25106.9829417438270.658562197410691
0.26107.1245203622880.701848684450271
0.27107.2736861320420.749407067541396
0.28107.4310743817820.801353659221856
0.29107.5973257832390.857508180131023
0.3107.7729877376720.916613369745302
0.31107.9584253040040.976951559981403
0.32108.1537707107871.03664627337015
0.33108.3589293308851.09448258030218
0.34108.5736435738721.14953241014755
0.35108.7975992120151.20225597733363
0.36109.030546149541.25350734518486
0.37109.2724011651341.30522269780244
0.38109.5233048511411.35929118158639
0.39109.7836172338051.41675653727343
0.4110.0538525733491.47870624833627
0.41110.3345687944761.54438215669182
0.42110.6262365619561.61259354227947
0.43110.9291146859341.68111204772413
0.44111.2431523839081.74747534405886
0.45111.5679275210761.80941357843721
0.46111.902617518581.86477959143038
0.47112.2459906011221.91144018975228
0.48112.596402599581.947877332523
0.49112.9517893882541.97210616950781
0.5113.3096552936321.98183585462006
0.51113.667069483061.97477722943793
0.52114.0206907562711.94849027636318
0.53114.3668425847131.9007155402139
0.54114.7016532044171.83038687184834
0.55115.0212614386671.7377054394802
0.56115.3220715309881.62447657914598
0.57115.60102467951.49439478877024
0.58115.8558458940871.3523940960487
0.59116.0852251375951.20450208451687
0.6116.2889016745821.05707826680432
0.61116.4676376787130.916131259082486
0.62116.6230871265060.786490648543295
0.63116.7575839660390.672047402215241
0.64116.8738854539710.574522554302664
0.65116.9749102095820.494649768594705
0.66117.0635060050480.431137763912612
0.67117.1422716679350.382154374822275
0.68117.2134440219350.345033318430423
0.69117.2788480592130.317084422952759
0.7117.3398992977620.295804953195124
0.71117.3976428990940.27919622417914
0.72117.4528143716750.265523510773378
0.73117.5059100146330.25381295971658
0.74117.5572594700120.243125239718244
0.75117.6070958527150.233129456205418
0.76117.6556198583530.22376282297806
0.77117.7030532739140.2150694712269
0.78117.7496758661910.207498548064081
0.79117.79583962050.201524792621804
0.8117.8419571765370.197547956062745
0.81117.888467101420.195551516961801
0.82117.9357856362810.195308748129363
0.83117.984259718610.196227903217579
0.84118.0341362781840.197428204757948
0.85118.0855563455980.198373854401954
0.86118.1385704191520.19856109696101
0.87118.1931578594220.19789890040305
0.88118.2492240800260.196328359157352
0.89118.3065517114040.193584238859797
0.9118.3647008219040.18914615558867
0.91118.4228900836440.181822305429635
0.92118.4799413924730.170256934054719
0.93118.5344234908560.153382017883142
0.94118.5851612535390.131600714839843
0.95118.632222926340.107558587940597
0.96118.6781767010230.0876301260530928
0.97118.7284619625240.0824416990404326
0.98118.7881494244570.101150369229078
0.99118.8527550203760.137044900692709


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')