FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 18 Dec 2013 08:55:05 -0500
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/Dec/18/t1387374924p3msfa8cy496p59.htm/, Retrieved Thu, 18 Apr 2024 01:28:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232436, Retrieved Thu, 18 Apr 2024 01:28:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact169

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] [] [2013-10-03 12:28:46] [14940b3acdb362d975a3925771725f1c]
- R P   [Harrell-Davis Quantiles] [] [2013-10-07 06:42:43] [bc3b96987d5d985d411360ed2ed90621]
-    D      [Harrell-Davis Quantiles] [] [2013-12-18 13:55:05] [9e8ac6a71da4b354687973a4f761944e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
107,2
107,56
107,72
108,14
108,16
108,16
108,16
108,1
108,95
110,49
110,72
110,82
110,82
110,75
110,71
110,86
110,84
110,84
110,84
110,92
111,46
112,46
113,04
113,15
113,15
113,21
113,37
113,47
113,71
113,71
113,71
113,8
115,46
117
117,94
118,08
118,08
118,47
118,49
118,45
118,54
118,55
118,55
118,55
119,04
121,37
122
122,14
122,14
122,03
121,91
122,23
121,73
121,83
121,83
122,49
123,02
125,98
126,13
126,39
126,39
126,57
126,87
127,26
126,82
126,7
126,7
126,7
128,53
130,37
130,39
130,65
130,65
130,65
130,85
130,89
130,85
131,6
131,6
131,6
132,53
133,05
133,49
133,46

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=232436&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=232436&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232436&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
0.05108.0600829308150.325679310783329
0.06108.2216614865070.433282001444314
0.07108.4099104981810.600170708334581
0.08108.6393122469640.784148579657461
0.09108.9114851872120.936665614963977
0.1109.214368444481.01959185855204
0.11109.5267689817611.0170527120769
0.12109.8255658775430.937748821314212
0.13110.0923203861030.807974081111769
0.14110.3171504497260.660944416554079
0.15110.4993875803160.527517764958275
0.16110.6458134739680.431541699099733
0.17110.767765220990.388710486629104
0.18110.8782129388940.402796328517786
0.19110.9894259997590.464224394062854
0.2111.1113986555010.557326841348329
0.21111.2509643422640.666010056883635
0.22111.4114752296860.775924822601501
0.23111.5929597450780.874418948594835
0.24111.792701851730.951970084782234
0.25112.0061695136481.00348997269188
0.26112.2281653775041.02917758827591
0.27112.4540161207131.03531219444808
0.28112.6805927134121.03213626493103
0.29112.9069781727731.03323549359127
0.3113.1346669633061.05211336784026
0.31113.3672714583971.0994375399195
0.32113.6098026076161.17994467053904
0.33113.8676655338791.29109748725488
0.34114.1455555012171.42425676964664
0.35114.4464518391451.56586175756126
0.36114.7708877871481.70057843285044
0.37115.1166264835721.81317570454093
0.38115.4788039416441.89041954964314
0.39115.8505188593851.92425288907054
0.4116.2237699631761.91163475008161
0.41116.5905791969091.85605733050852
0.42116.9441062324351.76634365381694
0.43117.279563459141.65583434087134
0.44117.5947797808711.54036746179948
0.45117.8903275109991.43578389568991
0.46118.169205647611.35591287504865
0.47118.4361496761981.30944860334246
0.48118.696699568741.29849555996066
0.49118.9561945896941.31830628793162
0.5119.2188712864571.35807733680735
0.51119.4872194698871.40450936895433
0.52119.7617038955431.44484076430199
0.53120.0408941206451.46851299271597
0.54120.3219720066841.46936717008155
0.55120.6015177752781.44643578283853
0.56120.8764235429931.40392484370156
0.57121.1447575441771.35090284381762
0.58121.4064079137641.29979522336563
0.59121.6633713931751.26446546278533
0.6121.9196137000981.25736859978264
0.61122.1805046167131.28623566696323
0.62122.4519099498731.35119891339587
0.63122.7390916547881.44465398337349
0.64123.0456145035691.55301246381826
0.65123.3724725702581.65893947842133
0.66123.7176250813521.74501507310035
0.67124.0760685016071.79619452540789
0.68124.4404778308521.80232495285702
0.69124.8023410674931.76001487957993
0.7125.153408440791.67363914662082
0.71125.4872044182351.55475517691774
0.72125.8003217285491.4208040834334
0.73126.0932383921841.29319755386311
0.74126.3704661674531.19378920237977
0.75126.6399405340151.14153653415929
0.76126.9116858338611.14637261867158
0.77127.1959233087021.20472051507447
0.78127.5009216539721.30030216715322
0.79127.8309979347261.40771254240441
0.8128.1851270524361.49911014897681
0.81128.5565695418811.54914311643867
0.82128.9337523057521.53975161236908
0.83129.3023457010411.46400602060934
0.84129.6481388682471.3284982934512
0.85129.960034401141.15120830000146
0.86130.2323812652860.958178762645293
0.87130.4660147296540.777200040549457
0.88130.6677650504220.632107158018906
0.89130.8487300137090.537596514385321
0.9131.0220876328490.495066935321609
0.91131.2013842348690.494344957426072
0.92131.3997960922580.523762187226755
0.93131.6297888422730.577048221837184
0.94131.9014395995660.647147449287668
0.95132.2176434374950.710849329135153

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.05 & 108.060082930815 & 0.325679310783329 \tabularnewline
0.06 & 108.221661486507 & 0.433282001444314 \tabularnewline
0.07 & 108.409910498181 & 0.600170708334581 \tabularnewline
0.08 & 108.639312246964 & 0.784148579657461 \tabularnewline
0.09 & 108.911485187212 & 0.936665614963977 \tabularnewline
0.1 & 109.21436844448 & 1.01959185855204 \tabularnewline
0.11 & 109.526768981761 & 1.0170527120769 \tabularnewline
0.12 & 109.825565877543 & 0.937748821314212 \tabularnewline
0.13 & 110.092320386103 & 0.807974081111769 \tabularnewline
0.14 & 110.317150449726 & 0.660944416554079 \tabularnewline
0.15 & 110.499387580316 & 0.527517764958275 \tabularnewline
0.16 & 110.645813473968 & 0.431541699099733 \tabularnewline
0.17 & 110.76776522099 & 0.388710486629104 \tabularnewline
0.18 & 110.878212938894 & 0.402796328517786 \tabularnewline
0.19 & 110.989425999759 & 0.464224394062854 \tabularnewline
0.2 & 111.111398655501 & 0.557326841348329 \tabularnewline
0.21 & 111.250964342264 & 0.666010056883635 \tabularnewline
0.22 & 111.411475229686 & 0.775924822601501 \tabularnewline
0.23 & 111.592959745078 & 0.874418948594835 \tabularnewline
0.24 & 111.79270185173 & 0.951970084782234 \tabularnewline
0.25 & 112.006169513648 & 1.00348997269188 \tabularnewline
0.26 & 112.228165377504 & 1.02917758827591 \tabularnewline
0.27 & 112.454016120713 & 1.03531219444808 \tabularnewline
0.28 & 112.680592713412 & 1.03213626493103 \tabularnewline
0.29 & 112.906978172773 & 1.03323549359127 \tabularnewline
0.3 & 113.134666963306 & 1.05211336784026 \tabularnewline
0.31 & 113.367271458397 & 1.0994375399195 \tabularnewline
0.32 & 113.609802607616 & 1.17994467053904 \tabularnewline
0.33 & 113.867665533879 & 1.29109748725488 \tabularnewline
0.34 & 114.145555501217 & 1.42425676964664 \tabularnewline
0.35 & 114.446451839145 & 1.56586175756126 \tabularnewline
0.36 & 114.770887787148 & 1.70057843285044 \tabularnewline
0.37 & 115.116626483572 & 1.81317570454093 \tabularnewline
0.38 & 115.478803941644 & 1.89041954964314 \tabularnewline
0.39 & 115.850518859385 & 1.92425288907054 \tabularnewline
0.4 & 116.223769963176 & 1.91163475008161 \tabularnewline
0.41 & 116.590579196909 & 1.85605733050852 \tabularnewline
0.42 & 116.944106232435 & 1.76634365381694 \tabularnewline
0.43 & 117.27956345914 & 1.65583434087134 \tabularnewline
0.44 & 117.594779780871 & 1.54036746179948 \tabularnewline
0.45 & 117.890327510999 & 1.43578389568991 \tabularnewline
0.46 & 118.16920564761 & 1.35591287504865 \tabularnewline
0.47 & 118.436149676198 & 1.30944860334246 \tabularnewline
0.48 & 118.69669956874 & 1.29849555996066 \tabularnewline
0.49 & 118.956194589694 & 1.31830628793162 \tabularnewline
0.5 & 119.218871286457 & 1.35807733680735 \tabularnewline
0.51 & 119.487219469887 & 1.40450936895433 \tabularnewline
0.52 & 119.761703895543 & 1.44484076430199 \tabularnewline
0.53 & 120.040894120645 & 1.46851299271597 \tabularnewline
0.54 & 120.321972006684 & 1.46936717008155 \tabularnewline
0.55 & 120.601517775278 & 1.44643578283853 \tabularnewline
0.56 & 120.876423542993 & 1.40392484370156 \tabularnewline
0.57 & 121.144757544177 & 1.35090284381762 \tabularnewline
0.58 & 121.406407913764 & 1.29979522336563 \tabularnewline
0.59 & 121.663371393175 & 1.26446546278533 \tabularnewline
0.6 & 121.919613700098 & 1.25736859978264 \tabularnewline
0.61 & 122.180504616713 & 1.28623566696323 \tabularnewline
0.62 & 122.451909949873 & 1.35119891339587 \tabularnewline
0.63 & 122.739091654788 & 1.44465398337349 \tabularnewline
0.64 & 123.045614503569 & 1.55301246381826 \tabularnewline
0.65 & 123.372472570258 & 1.65893947842133 \tabularnewline
0.66 & 123.717625081352 & 1.74501507310035 \tabularnewline
0.67 & 124.076068501607 & 1.79619452540789 \tabularnewline
0.68 & 124.440477830852 & 1.80232495285702 \tabularnewline
0.69 & 124.802341067493 & 1.76001487957993 \tabularnewline
0.7 & 125.15340844079 & 1.67363914662082 \tabularnewline
0.71 & 125.487204418235 & 1.55475517691774 \tabularnewline
0.72 & 125.800321728549 & 1.4208040834334 \tabularnewline
0.73 & 126.093238392184 & 1.29319755386311 \tabularnewline
0.74 & 126.370466167453 & 1.19378920237977 \tabularnewline
0.75 & 126.639940534015 & 1.14153653415929 \tabularnewline
0.76 & 126.911685833861 & 1.14637261867158 \tabularnewline
0.77 & 127.195923308702 & 1.20472051507447 \tabularnewline
0.78 & 127.500921653972 & 1.30030216715322 \tabularnewline
0.79 & 127.830997934726 & 1.40771254240441 \tabularnewline
0.8 & 128.185127052436 & 1.49911014897681 \tabularnewline
0.81 & 128.556569541881 & 1.54914311643867 \tabularnewline
0.82 & 128.933752305752 & 1.53975161236908 \tabularnewline
0.83 & 129.302345701041 & 1.46400602060934 \tabularnewline
0.84 & 129.648138868247 & 1.3284982934512 \tabularnewline
0.85 & 129.96003440114 & 1.15120830000146 \tabularnewline
0.86 & 130.232381265286 & 0.958178762645293 \tabularnewline
0.87 & 130.466014729654 & 0.777200040549457 \tabularnewline
0.88 & 130.667765050422 & 0.632107158018906 \tabularnewline
0.89 & 130.848730013709 & 0.537596514385321 \tabularnewline
0.9 & 131.022087632849 & 0.495066935321609 \tabularnewline
0.91 & 131.201384234869 & 0.494344957426072 \tabularnewline
0.92 & 131.399796092258 & 0.523762187226755 \tabularnewline
0.93 & 131.629788842273 & 0.577048221837184 \tabularnewline
0.94 & 131.901439599566 & 0.647147449287668 \tabularnewline
0.95 & 132.217643437495 & 0.710849329135153 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232436&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.05[/C][C]108.060082930815[/C][C]0.325679310783329[/C][/ROW]
[ROW][C]0.06[/C][C]108.221661486507[/C][C]0.433282001444314[/C][/ROW]
[ROW][C]0.07[/C][C]108.409910498181[/C][C]0.600170708334581[/C][/ROW]
[ROW][C]0.08[/C][C]108.639312246964[/C][C]0.784148579657461[/C][/ROW]
[ROW][C]0.09[/C][C]108.911485187212[/C][C]0.936665614963977[/C][/ROW]
[ROW][C]0.1[/C][C]109.21436844448[/C][C]1.01959185855204[/C][/ROW]
[ROW][C]0.11[/C][C]109.526768981761[/C][C]1.0170527120769[/C][/ROW]
[ROW][C]0.12[/C][C]109.825565877543[/C][C]0.937748821314212[/C][/ROW]
[ROW][C]0.13[/C][C]110.092320386103[/C][C]0.807974081111769[/C][/ROW]
[ROW][C]0.14[/C][C]110.317150449726[/C][C]0.660944416554079[/C][/ROW]
[ROW][C]0.15[/C][C]110.499387580316[/C][C]0.527517764958275[/C][/ROW]
[ROW][C]0.16[/C][C]110.645813473968[/C][C]0.431541699099733[/C][/ROW]
[ROW][C]0.17[/C][C]110.76776522099[/C][C]0.388710486629104[/C][/ROW]
[ROW][C]0.18[/C][C]110.878212938894[/C][C]0.402796328517786[/C][/ROW]
[ROW][C]0.19[/C][C]110.989425999759[/C][C]0.464224394062854[/C][/ROW]
[ROW][C]0.2[/C][C]111.111398655501[/C][C]0.557326841348329[/C][/ROW]
[ROW][C]0.21[/C][C]111.250964342264[/C][C]0.666010056883635[/C][/ROW]
[ROW][C]0.22[/C][C]111.411475229686[/C][C]0.775924822601501[/C][/ROW]
[ROW][C]0.23[/C][C]111.592959745078[/C][C]0.874418948594835[/C][/ROW]
[ROW][C]0.24[/C][C]111.79270185173[/C][C]0.951970084782234[/C][/ROW]
[ROW][C]0.25[/C][C]112.006169513648[/C][C]1.00348997269188[/C][/ROW]
[ROW][C]0.26[/C][C]112.228165377504[/C][C]1.02917758827591[/C][/ROW]
[ROW][C]0.27[/C][C]112.454016120713[/C][C]1.03531219444808[/C][/ROW]
[ROW][C]0.28[/C][C]112.680592713412[/C][C]1.03213626493103[/C][/ROW]
[ROW][C]0.29[/C][C]112.906978172773[/C][C]1.03323549359127[/C][/ROW]
[ROW][C]0.3[/C][C]113.134666963306[/C][C]1.05211336784026[/C][/ROW]
[ROW][C]0.31[/C][C]113.367271458397[/C][C]1.0994375399195[/C][/ROW]
[ROW][C]0.32[/C][C]113.609802607616[/C][C]1.17994467053904[/C][/ROW]
[ROW][C]0.33[/C][C]113.867665533879[/C][C]1.29109748725488[/C][/ROW]
[ROW][C]0.34[/C][C]114.145555501217[/C][C]1.42425676964664[/C][/ROW]
[ROW][C]0.35[/C][C]114.446451839145[/C][C]1.56586175756126[/C][/ROW]
[ROW][C]0.36[/C][C]114.770887787148[/C][C]1.70057843285044[/C][/ROW]
[ROW][C]0.37[/C][C]115.116626483572[/C][C]1.81317570454093[/C][/ROW]
[ROW][C]0.38[/C][C]115.478803941644[/C][C]1.89041954964314[/C][/ROW]
[ROW][C]0.39[/C][C]115.850518859385[/C][C]1.92425288907054[/C][/ROW]
[ROW][C]0.4[/C][C]116.223769963176[/C][C]1.91163475008161[/C][/ROW]
[ROW][C]0.41[/C][C]116.590579196909[/C][C]1.85605733050852[/C][/ROW]
[ROW][C]0.42[/C][C]116.944106232435[/C][C]1.76634365381694[/C][/ROW]
[ROW][C]0.43[/C][C]117.27956345914[/C][C]1.65583434087134[/C][/ROW]
[ROW][C]0.44[/C][C]117.594779780871[/C][C]1.54036746179948[/C][/ROW]
[ROW][C]0.45[/C][C]117.890327510999[/C][C]1.43578389568991[/C][/ROW]
[ROW][C]0.46[/C][C]118.16920564761[/C][C]1.35591287504865[/C][/ROW]
[ROW][C]0.47[/C][C]118.436149676198[/C][C]1.30944860334246[/C][/ROW]
[ROW][C]0.48[/C][C]118.69669956874[/C][C]1.29849555996066[/C][/ROW]
[ROW][C]0.49[/C][C]118.956194589694[/C][C]1.31830628793162[/C][/ROW]
[ROW][C]0.5[/C][C]119.218871286457[/C][C]1.35807733680735[/C][/ROW]
[ROW][C]0.51[/C][C]119.487219469887[/C][C]1.40450936895433[/C][/ROW]
[ROW][C]0.52[/C][C]119.761703895543[/C][C]1.44484076430199[/C][/ROW]
[ROW][C]0.53[/C][C]120.040894120645[/C][C]1.46851299271597[/C][/ROW]
[ROW][C]0.54[/C][C]120.321972006684[/C][C]1.46936717008155[/C][/ROW]
[ROW][C]0.55[/C][C]120.601517775278[/C][C]1.44643578283853[/C][/ROW]
[ROW][C]0.56[/C][C]120.876423542993[/C][C]1.40392484370156[/C][/ROW]
[ROW][C]0.57[/C][C]121.144757544177[/C][C]1.35090284381762[/C][/ROW]
[ROW][C]0.58[/C][C]121.406407913764[/C][C]1.29979522336563[/C][/ROW]
[ROW][C]0.59[/C][C]121.663371393175[/C][C]1.26446546278533[/C][/ROW]
[ROW][C]0.6[/C][C]121.919613700098[/C][C]1.25736859978264[/C][/ROW]
[ROW][C]0.61[/C][C]122.180504616713[/C][C]1.28623566696323[/C][/ROW]
[ROW][C]0.62[/C][C]122.451909949873[/C][C]1.35119891339587[/C][/ROW]
[ROW][C]0.63[/C][C]122.739091654788[/C][C]1.44465398337349[/C][/ROW]
[ROW][C]0.64[/C][C]123.045614503569[/C][C]1.55301246381826[/C][/ROW]
[ROW][C]0.65[/C][C]123.372472570258[/C][C]1.65893947842133[/C][/ROW]
[ROW][C]0.66[/C][C]123.717625081352[/C][C]1.74501507310035[/C][/ROW]
[ROW][C]0.67[/C][C]124.076068501607[/C][C]1.79619452540789[/C][/ROW]
[ROW][C]0.68[/C][C]124.440477830852[/C][C]1.80232495285702[/C][/ROW]
[ROW][C]0.69[/C][C]124.802341067493[/C][C]1.76001487957993[/C][/ROW]
[ROW][C]0.7[/C][C]125.15340844079[/C][C]1.67363914662082[/C][/ROW]
[ROW][C]0.71[/C][C]125.487204418235[/C][C]1.55475517691774[/C][/ROW]
[ROW][C]0.72[/C][C]125.800321728549[/C][C]1.4208040834334[/C][/ROW]
[ROW][C]0.73[/C][C]126.093238392184[/C][C]1.29319755386311[/C][/ROW]
[ROW][C]0.74[/C][C]126.370466167453[/C][C]1.19378920237977[/C][/ROW]
[ROW][C]0.75[/C][C]126.639940534015[/C][C]1.14153653415929[/C][/ROW]
[ROW][C]0.76[/C][C]126.911685833861[/C][C]1.14637261867158[/C][/ROW]
[ROW][C]0.77[/C][C]127.195923308702[/C][C]1.20472051507447[/C][/ROW]
[ROW][C]0.78[/C][C]127.500921653972[/C][C]1.30030216715322[/C][/ROW]
[ROW][C]0.79[/C][C]127.830997934726[/C][C]1.40771254240441[/C][/ROW]
[ROW][C]0.8[/C][C]128.185127052436[/C][C]1.49911014897681[/C][/ROW]
[ROW][C]0.81[/C][C]128.556569541881[/C][C]1.54914311643867[/C][/ROW]
[ROW][C]0.82[/C][C]128.933752305752[/C][C]1.53975161236908[/C][/ROW]
[ROW][C]0.83[/C][C]129.302345701041[/C][C]1.46400602060934[/C][/ROW]
[ROW][C]0.84[/C][C]129.648138868247[/C][C]1.3284982934512[/C][/ROW]
[ROW][C]0.85[/C][C]129.96003440114[/C][C]1.15120830000146[/C][/ROW]
[ROW][C]0.86[/C][C]130.232381265286[/C][C]0.958178762645293[/C][/ROW]
[ROW][C]0.87[/C][C]130.466014729654[/C][C]0.777200040549457[/C][/ROW]
[ROW][C]0.88[/C][C]130.667765050422[/C][C]0.632107158018906[/C][/ROW]
[ROW][C]0.89[/C][C]130.848730013709[/C][C]0.537596514385321[/C][/ROW]
[ROW][C]0.9[/C][C]131.022087632849[/C][C]0.495066935321609[/C][/ROW]
[ROW][C]0.91[/C][C]131.201384234869[/C][C]0.494344957426072[/C][/ROW]
[ROW][C]0.92[/C][C]131.399796092258[/C][C]0.523762187226755[/C][/ROW]
[ROW][C]0.93[/C][C]131.629788842273[/C][C]0.577048221837184[/C][/ROW]
[ROW][C]0.94[/C][C]131.901439599566[/C][C]0.647147449287668[/C][/ROW]
[ROW][C]0.95[/C][C]132.217643437495[/C][C]0.710849329135153[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232436&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232436&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
0.05108.0600829308150.325679310783329
0.06108.2216614865070.433282001444314
0.07108.4099104981810.600170708334581
0.08108.6393122469640.784148579657461
0.09108.9114851872120.936665614963977
0.1109.214368444481.01959185855204
0.11109.5267689817611.0170527120769
0.12109.8255658775430.937748821314212
0.13110.0923203861030.807974081111769
0.14110.3171504497260.660944416554079
0.15110.4993875803160.527517764958275
0.16110.6458134739680.431541699099733
0.17110.767765220990.388710486629104
0.18110.8782129388940.402796328517786
0.19110.9894259997590.464224394062854
0.2111.1113986555010.557326841348329
0.21111.2509643422640.666010056883635
0.22111.4114752296860.775924822601501
0.23111.5929597450780.874418948594835
0.24111.792701851730.951970084782234
0.25112.0061695136481.00348997269188
0.26112.2281653775041.02917758827591
0.27112.4540161207131.03531219444808
0.28112.6805927134121.03213626493103
0.29112.9069781727731.03323549359127
0.3113.1346669633061.05211336784026
0.31113.3672714583971.0994375399195
0.32113.6098026076161.17994467053904
0.33113.8676655338791.29109748725488
0.34114.1455555012171.42425676964664
0.35114.4464518391451.56586175756126
0.36114.7708877871481.70057843285044
0.37115.1166264835721.81317570454093
0.38115.4788039416441.89041954964314
0.39115.8505188593851.92425288907054
0.4116.2237699631761.91163475008161
0.41116.5905791969091.85605733050852
0.42116.9441062324351.76634365381694
0.43117.279563459141.65583434087134
0.44117.5947797808711.54036746179948
0.45117.8903275109991.43578389568991
0.46118.169205647611.35591287504865
0.47118.4361496761981.30944860334246
0.48118.696699568741.29849555996066
0.49118.9561945896941.31830628793162
0.5119.2188712864571.35807733680735
0.51119.4872194698871.40450936895433
0.52119.7617038955431.44484076430199
0.53120.0408941206451.46851299271597
0.54120.3219720066841.46936717008155
0.55120.6015177752781.44643578283853
0.56120.8764235429931.40392484370156
0.57121.1447575441771.35090284381762
0.58121.4064079137641.29979522336563
0.59121.6633713931751.26446546278533
0.6121.9196137000981.25736859978264
0.61122.1805046167131.28623566696323
0.62122.4519099498731.35119891339587
0.63122.7390916547881.44465398337349
0.64123.0456145035691.55301246381826
0.65123.3724725702581.65893947842133
0.66123.7176250813521.74501507310035
0.67124.0760685016071.79619452540789
0.68124.4404778308521.80232495285702
0.69124.8023410674931.76001487957993
0.7125.153408440791.67363914662082
0.71125.4872044182351.55475517691774
0.72125.8003217285491.4208040834334
0.73126.0932383921841.29319755386311
0.74126.3704661674531.19378920237977
0.75126.6399405340151.14153653415929
0.76126.9116858338611.14637261867158
0.77127.1959233087021.20472051507447
0.78127.5009216539721.30030216715322
0.79127.8309979347261.40771254240441
0.8128.1851270524361.49911014897681
0.81128.5565695418811.54914311643867
0.82128.9337523057521.53975161236908
0.83129.3023457010411.46400602060934
0.84129.6481388682471.3284982934512
0.85129.960034401141.15120830000146
0.86130.2323812652860.958178762645293
0.87130.4660147296540.777200040549457
0.88130.6677650504220.632107158018906
0.89130.8487300137090.537596514385321
0.9131.0220876328490.495066935321609
0.91131.2013842348690.494344957426072
0.92131.3997960922580.523762187226755
0.93131.6297888422730.577048221837184
0.94131.9014395995660.647147449287668
0.95132.2176434374950.710849329135153


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.05 ; par2 = 0.95 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.05 ; par2 = 0.95 ; 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')