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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, 26 Feb 2013 14:23:49 -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/Feb/26/t1361906674fq4gzs8u7acxdbd.htm/, Retrieved Sun, 05 May 2024 06:07:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207101, Retrieved Sun, 05 May 2024 06:07:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Consumptieprijzen...] [2013-02-14 14:21:08] [8378eef5211278eb3f097c01ec83268e]
- RMPD    [Harrell-Davis Quantiles] [Percentielen cons...] [2013-02-26 19:23:49] [efa64194dd516a5eefd4f5387836fbaf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6.94
6.98
7.05
7.07
7.08
7.10
7.12
7.13
7.18
7.20
7.21
7.22
7.26
7.29
7.32
7.36
7.41
7.48
7.48
7.51
7.51
7.51
7.51
7.54
7.58
7.64
7.63
7.71
7.77
7.85
7.88
7.89
7.94
8.02
8.08
8.15
8.17
8.17
8.25
8.33
8.41
8.43
8.48
8.52
8.56
8.63
8.70
8.72
8.73
8.82
8.83
8.81
8.82
8.83
8.84
8.83
8.82
8.87
8.87
8.87
8.86
8.95
8.94
8.96
8.96
9.01
9.01
8.96
8.96
8.94
8.93
8.89

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207101&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207101&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207101&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.956137408875510.0445038633924329
0.026.98231322001240.0500131101334098
0.037.010756984506920.0497009643872135
0.047.036578163538220.0448144563932497
0.057.058351401772890.0401027097157695
0.067.076702422687530.0385257352782599
0.077.092954075829050.0401546926833477
0.087.108326277433940.0436952706303843
0.097.123634923279650.0479521972774168
0.17.139298729890530.0522204627234899
0.117.155472721822270.0562601827337275
0.127.172192502699270.060187739890152
0.137.189477226868540.0643212309693834
0.147.207378704615430.068961959053929
0.157.225983398268680.0742375399739306
0.167.245382771906390.0800282214276932
0.177.265630539208120.0859567548888473
0.187.286704123615960.0915066752250399
0.197.308482945285450.096125440071073
0.27.330749604872610.0993499677458403
0.217.353213553850540.100890024520849
0.227.375551820192010.100685386527653
0.237.397458389552590.0989397088245593
0.247.418692911385940.0960845094745068
0.257.439120207448580.0927562002077849
0.267.458734211714140.0897179417786465
0.277.477663004574130.087735219893095
0.287.496154973290880.0874789048184512
0.297.514549235630430.0893902064443985
0.37.533235760402420.0936044651037828
0.317.552611749375260.0999628447452951
0.327.573040722942260.108079947470155
0.337.594819560929090.117426982366485
0.347.618156865249770.127443253429202
0.357.64316387997060.137576716417019
0.367.669857233601950.147369983432195
0.377.698171251058430.15643218764026
0.387.727976671631840.164521000715848
0.397.759102328146940.171505878680356
0.47.791356614754660.177367795806404
0.417.824546252546670.182174598266591
0.427.858490771594320.186040440991219
0.437.893032074089860.18912322085596
0.447.928039255746730.191561725885021
0.457.963409422343550.193525092057312
0.467.999065500248320.19510807980511
0.478.034952038592610.196420416491261
0.488.071029832634970.197502760590511
0.498.107269981747330.19842793785487
0.58.143647827607390.199183273890497
0.518.180137138164640.199739922704399
0.528.216704886372370.200057261281234
0.538.253306953778180.200036166603107
0.548.289885002511960.199583957502848
0.558.326364580969140.198603963151908
0.568.362654295567760.197016013179782
0.578.398645679814830.194723249477239
0.588.434213320220.191672947463072
0.598.469214917915630.187794742232836
0.68.503491266207890.183032459981046
0.618.536866522538460.177301397329354
0.628.569149513084490.17054879763527
0.638.600136990237740.162711216644836
0.648.629619672269650.153773274674167
0.658.65739151077410.143773641085224
0.668.683262016298380.132822487531061
0.678.707070750605970.12109857234568
0.688.728702422060260.108873621993046
0.698.748100554366780.0964837551066037
0.78.765277564953240.0843010626330458
0.718.780319363232810.0727105010444278
0.728.79338326708910.062083447323184
0.738.804689058593460.0527293007318738
0.748.814504182454250.0448758296589817
0.758.823125171934610.0386636463296996
0.768.83085806103220.0341050726320195
0.778.838000539958940.0311102556863353
0.788.844827816124490.0294789156785147
0.798.851582700438220.0289617909846943
0.88.858468806087390.0293007178542635
0.818.865644612477520.0302566189144898
0.828.873216184949840.0315775622489292
0.838.881227847203580.0329821969868553
0.848.889652671079750.0341463566710455
0.858.898387119051730.03472215663013
0.868.907255060954360.0344220846679271
0.878.916024738547470.0330572155250985
0.888.924438590361180.0306171735647134
0.898.932252489340780.0272692106956948
0.98.93928102064790.0233244201221134
0.918.94545029720010.0191956242883208
0.928.950865246684480.0153670010655023
0.938.955891301830680.0125164255521616
0.948.961212191771710.0117858401585954
0.958.967752044757240.0143158413266193
0.968.976298090952870.0193108303218683
0.978.986782933638260.0233893057787143
0.988.997626058248320.021624548998357
0.999.006054888893650.0117048139044385

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.95613740887551 & 0.0445038633924329 \tabularnewline
0.02 & 6.9823132200124 & 0.0500131101334098 \tabularnewline
0.03 & 7.01075698450692 & 0.0497009643872135 \tabularnewline
0.04 & 7.03657816353822 & 0.0448144563932497 \tabularnewline
0.05 & 7.05835140177289 & 0.0401027097157695 \tabularnewline
0.06 & 7.07670242268753 & 0.0385257352782599 \tabularnewline
0.07 & 7.09295407582905 & 0.0401546926833477 \tabularnewline
0.08 & 7.10832627743394 & 0.0436952706303843 \tabularnewline
0.09 & 7.12363492327965 & 0.0479521972774168 \tabularnewline
0.1 & 7.13929872989053 & 0.0522204627234899 \tabularnewline
0.11 & 7.15547272182227 & 0.0562601827337275 \tabularnewline
0.12 & 7.17219250269927 & 0.060187739890152 \tabularnewline
0.13 & 7.18947722686854 & 0.0643212309693834 \tabularnewline
0.14 & 7.20737870461543 & 0.068961959053929 \tabularnewline
0.15 & 7.22598339826868 & 0.0742375399739306 \tabularnewline
0.16 & 7.24538277190639 & 0.0800282214276932 \tabularnewline
0.17 & 7.26563053920812 & 0.0859567548888473 \tabularnewline
0.18 & 7.28670412361596 & 0.0915066752250399 \tabularnewline
0.19 & 7.30848294528545 & 0.096125440071073 \tabularnewline
0.2 & 7.33074960487261 & 0.0993499677458403 \tabularnewline
0.21 & 7.35321355385054 & 0.100890024520849 \tabularnewline
0.22 & 7.37555182019201 & 0.100685386527653 \tabularnewline
0.23 & 7.39745838955259 & 0.0989397088245593 \tabularnewline
0.24 & 7.41869291138594 & 0.0960845094745068 \tabularnewline
0.25 & 7.43912020744858 & 0.0927562002077849 \tabularnewline
0.26 & 7.45873421171414 & 0.0897179417786465 \tabularnewline
0.27 & 7.47766300457413 & 0.087735219893095 \tabularnewline
0.28 & 7.49615497329088 & 0.0874789048184512 \tabularnewline
0.29 & 7.51454923563043 & 0.0893902064443985 \tabularnewline
0.3 & 7.53323576040242 & 0.0936044651037828 \tabularnewline
0.31 & 7.55261174937526 & 0.0999628447452951 \tabularnewline
0.32 & 7.57304072294226 & 0.108079947470155 \tabularnewline
0.33 & 7.59481956092909 & 0.117426982366485 \tabularnewline
0.34 & 7.61815686524977 & 0.127443253429202 \tabularnewline
0.35 & 7.6431638799706 & 0.137576716417019 \tabularnewline
0.36 & 7.66985723360195 & 0.147369983432195 \tabularnewline
0.37 & 7.69817125105843 & 0.15643218764026 \tabularnewline
0.38 & 7.72797667163184 & 0.164521000715848 \tabularnewline
0.39 & 7.75910232814694 & 0.171505878680356 \tabularnewline
0.4 & 7.79135661475466 & 0.177367795806404 \tabularnewline
0.41 & 7.82454625254667 & 0.182174598266591 \tabularnewline
0.42 & 7.85849077159432 & 0.186040440991219 \tabularnewline
0.43 & 7.89303207408986 & 0.18912322085596 \tabularnewline
0.44 & 7.92803925574673 & 0.191561725885021 \tabularnewline
0.45 & 7.96340942234355 & 0.193525092057312 \tabularnewline
0.46 & 7.99906550024832 & 0.19510807980511 \tabularnewline
0.47 & 8.03495203859261 & 0.196420416491261 \tabularnewline
0.48 & 8.07102983263497 & 0.197502760590511 \tabularnewline
0.49 & 8.10726998174733 & 0.19842793785487 \tabularnewline
0.5 & 8.14364782760739 & 0.199183273890497 \tabularnewline
0.51 & 8.18013713816464 & 0.199739922704399 \tabularnewline
0.52 & 8.21670488637237 & 0.200057261281234 \tabularnewline
0.53 & 8.25330695377818 & 0.200036166603107 \tabularnewline
0.54 & 8.28988500251196 & 0.199583957502848 \tabularnewline
0.55 & 8.32636458096914 & 0.198603963151908 \tabularnewline
0.56 & 8.36265429556776 & 0.197016013179782 \tabularnewline
0.57 & 8.39864567981483 & 0.194723249477239 \tabularnewline
0.58 & 8.43421332022 & 0.191672947463072 \tabularnewline
0.59 & 8.46921491791563 & 0.187794742232836 \tabularnewline
0.6 & 8.50349126620789 & 0.183032459981046 \tabularnewline
0.61 & 8.53686652253846 & 0.177301397329354 \tabularnewline
0.62 & 8.56914951308449 & 0.17054879763527 \tabularnewline
0.63 & 8.60013699023774 & 0.162711216644836 \tabularnewline
0.64 & 8.62961967226965 & 0.153773274674167 \tabularnewline
0.65 & 8.6573915107741 & 0.143773641085224 \tabularnewline
0.66 & 8.68326201629838 & 0.132822487531061 \tabularnewline
0.67 & 8.70707075060597 & 0.12109857234568 \tabularnewline
0.68 & 8.72870242206026 & 0.108873621993046 \tabularnewline
0.69 & 8.74810055436678 & 0.0964837551066037 \tabularnewline
0.7 & 8.76527756495324 & 0.0843010626330458 \tabularnewline
0.71 & 8.78031936323281 & 0.0727105010444278 \tabularnewline
0.72 & 8.7933832670891 & 0.062083447323184 \tabularnewline
0.73 & 8.80468905859346 & 0.0527293007318738 \tabularnewline
0.74 & 8.81450418245425 & 0.0448758296589817 \tabularnewline
0.75 & 8.82312517193461 & 0.0386636463296996 \tabularnewline
0.76 & 8.8308580610322 & 0.0341050726320195 \tabularnewline
0.77 & 8.83800053995894 & 0.0311102556863353 \tabularnewline
0.78 & 8.84482781612449 & 0.0294789156785147 \tabularnewline
0.79 & 8.85158270043822 & 0.0289617909846943 \tabularnewline
0.8 & 8.85846880608739 & 0.0293007178542635 \tabularnewline
0.81 & 8.86564461247752 & 0.0302566189144898 \tabularnewline
0.82 & 8.87321618494984 & 0.0315775622489292 \tabularnewline
0.83 & 8.88122784720358 & 0.0329821969868553 \tabularnewline
0.84 & 8.88965267107975 & 0.0341463566710455 \tabularnewline
0.85 & 8.89838711905173 & 0.03472215663013 \tabularnewline
0.86 & 8.90725506095436 & 0.0344220846679271 \tabularnewline
0.87 & 8.91602473854747 & 0.0330572155250985 \tabularnewline
0.88 & 8.92443859036118 & 0.0306171735647134 \tabularnewline
0.89 & 8.93225248934078 & 0.0272692106956948 \tabularnewline
0.9 & 8.9392810206479 & 0.0233244201221134 \tabularnewline
0.91 & 8.9454502972001 & 0.0191956242883208 \tabularnewline
0.92 & 8.95086524668448 & 0.0153670010655023 \tabularnewline
0.93 & 8.95589130183068 & 0.0125164255521616 \tabularnewline
0.94 & 8.96121219177171 & 0.0117858401585954 \tabularnewline
0.95 & 8.96775204475724 & 0.0143158413266193 \tabularnewline
0.96 & 8.97629809095287 & 0.0193108303218683 \tabularnewline
0.97 & 8.98678293363826 & 0.0233893057787143 \tabularnewline
0.98 & 8.99762605824832 & 0.021624548998357 \tabularnewline
0.99 & 9.00605488889365 & 0.0117048139044385 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207101&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]6.95613740887551[/C][C]0.0445038633924329[/C][/ROW]
[ROW][C]0.02[/C][C]6.9823132200124[/C][C]0.0500131101334098[/C][/ROW]
[ROW][C]0.03[/C][C]7.01075698450692[/C][C]0.0497009643872135[/C][/ROW]
[ROW][C]0.04[/C][C]7.03657816353822[/C][C]0.0448144563932497[/C][/ROW]
[ROW][C]0.05[/C][C]7.05835140177289[/C][C]0.0401027097157695[/C][/ROW]
[ROW][C]0.06[/C][C]7.07670242268753[/C][C]0.0385257352782599[/C][/ROW]
[ROW][C]0.07[/C][C]7.09295407582905[/C][C]0.0401546926833477[/C][/ROW]
[ROW][C]0.08[/C][C]7.10832627743394[/C][C]0.0436952706303843[/C][/ROW]
[ROW][C]0.09[/C][C]7.12363492327965[/C][C]0.0479521972774168[/C][/ROW]
[ROW][C]0.1[/C][C]7.13929872989053[/C][C]0.0522204627234899[/C][/ROW]
[ROW][C]0.11[/C][C]7.15547272182227[/C][C]0.0562601827337275[/C][/ROW]
[ROW][C]0.12[/C][C]7.17219250269927[/C][C]0.060187739890152[/C][/ROW]
[ROW][C]0.13[/C][C]7.18947722686854[/C][C]0.0643212309693834[/C][/ROW]
[ROW][C]0.14[/C][C]7.20737870461543[/C][C]0.068961959053929[/C][/ROW]
[ROW][C]0.15[/C][C]7.22598339826868[/C][C]0.0742375399739306[/C][/ROW]
[ROW][C]0.16[/C][C]7.24538277190639[/C][C]0.0800282214276932[/C][/ROW]
[ROW][C]0.17[/C][C]7.26563053920812[/C][C]0.0859567548888473[/C][/ROW]
[ROW][C]0.18[/C][C]7.28670412361596[/C][C]0.0915066752250399[/C][/ROW]
[ROW][C]0.19[/C][C]7.30848294528545[/C][C]0.096125440071073[/C][/ROW]
[ROW][C]0.2[/C][C]7.33074960487261[/C][C]0.0993499677458403[/C][/ROW]
[ROW][C]0.21[/C][C]7.35321355385054[/C][C]0.100890024520849[/C][/ROW]
[ROW][C]0.22[/C][C]7.37555182019201[/C][C]0.100685386527653[/C][/ROW]
[ROW][C]0.23[/C][C]7.39745838955259[/C][C]0.0989397088245593[/C][/ROW]
[ROW][C]0.24[/C][C]7.41869291138594[/C][C]0.0960845094745068[/C][/ROW]
[ROW][C]0.25[/C][C]7.43912020744858[/C][C]0.0927562002077849[/C][/ROW]
[ROW][C]0.26[/C][C]7.45873421171414[/C][C]0.0897179417786465[/C][/ROW]
[ROW][C]0.27[/C][C]7.47766300457413[/C][C]0.087735219893095[/C][/ROW]
[ROW][C]0.28[/C][C]7.49615497329088[/C][C]0.0874789048184512[/C][/ROW]
[ROW][C]0.29[/C][C]7.51454923563043[/C][C]0.0893902064443985[/C][/ROW]
[ROW][C]0.3[/C][C]7.53323576040242[/C][C]0.0936044651037828[/C][/ROW]
[ROW][C]0.31[/C][C]7.55261174937526[/C][C]0.0999628447452951[/C][/ROW]
[ROW][C]0.32[/C][C]7.57304072294226[/C][C]0.108079947470155[/C][/ROW]
[ROW][C]0.33[/C][C]7.59481956092909[/C][C]0.117426982366485[/C][/ROW]
[ROW][C]0.34[/C][C]7.61815686524977[/C][C]0.127443253429202[/C][/ROW]
[ROW][C]0.35[/C][C]7.6431638799706[/C][C]0.137576716417019[/C][/ROW]
[ROW][C]0.36[/C][C]7.66985723360195[/C][C]0.147369983432195[/C][/ROW]
[ROW][C]0.37[/C][C]7.69817125105843[/C][C]0.15643218764026[/C][/ROW]
[ROW][C]0.38[/C][C]7.72797667163184[/C][C]0.164521000715848[/C][/ROW]
[ROW][C]0.39[/C][C]7.75910232814694[/C][C]0.171505878680356[/C][/ROW]
[ROW][C]0.4[/C][C]7.79135661475466[/C][C]0.177367795806404[/C][/ROW]
[ROW][C]0.41[/C][C]7.82454625254667[/C][C]0.182174598266591[/C][/ROW]
[ROW][C]0.42[/C][C]7.85849077159432[/C][C]0.186040440991219[/C][/ROW]
[ROW][C]0.43[/C][C]7.89303207408986[/C][C]0.18912322085596[/C][/ROW]
[ROW][C]0.44[/C][C]7.92803925574673[/C][C]0.191561725885021[/C][/ROW]
[ROW][C]0.45[/C][C]7.96340942234355[/C][C]0.193525092057312[/C][/ROW]
[ROW][C]0.46[/C][C]7.99906550024832[/C][C]0.19510807980511[/C][/ROW]
[ROW][C]0.47[/C][C]8.03495203859261[/C][C]0.196420416491261[/C][/ROW]
[ROW][C]0.48[/C][C]8.07102983263497[/C][C]0.197502760590511[/C][/ROW]
[ROW][C]0.49[/C][C]8.10726998174733[/C][C]0.19842793785487[/C][/ROW]
[ROW][C]0.5[/C][C]8.14364782760739[/C][C]0.199183273890497[/C][/ROW]
[ROW][C]0.51[/C][C]8.18013713816464[/C][C]0.199739922704399[/C][/ROW]
[ROW][C]0.52[/C][C]8.21670488637237[/C][C]0.200057261281234[/C][/ROW]
[ROW][C]0.53[/C][C]8.25330695377818[/C][C]0.200036166603107[/C][/ROW]
[ROW][C]0.54[/C][C]8.28988500251196[/C][C]0.199583957502848[/C][/ROW]
[ROW][C]0.55[/C][C]8.32636458096914[/C][C]0.198603963151908[/C][/ROW]
[ROW][C]0.56[/C][C]8.36265429556776[/C][C]0.197016013179782[/C][/ROW]
[ROW][C]0.57[/C][C]8.39864567981483[/C][C]0.194723249477239[/C][/ROW]
[ROW][C]0.58[/C][C]8.43421332022[/C][C]0.191672947463072[/C][/ROW]
[ROW][C]0.59[/C][C]8.46921491791563[/C][C]0.187794742232836[/C][/ROW]
[ROW][C]0.6[/C][C]8.50349126620789[/C][C]0.183032459981046[/C][/ROW]
[ROW][C]0.61[/C][C]8.53686652253846[/C][C]0.177301397329354[/C][/ROW]
[ROW][C]0.62[/C][C]8.56914951308449[/C][C]0.17054879763527[/C][/ROW]
[ROW][C]0.63[/C][C]8.60013699023774[/C][C]0.162711216644836[/C][/ROW]
[ROW][C]0.64[/C][C]8.62961967226965[/C][C]0.153773274674167[/C][/ROW]
[ROW][C]0.65[/C][C]8.6573915107741[/C][C]0.143773641085224[/C][/ROW]
[ROW][C]0.66[/C][C]8.68326201629838[/C][C]0.132822487531061[/C][/ROW]
[ROW][C]0.67[/C][C]8.70707075060597[/C][C]0.12109857234568[/C][/ROW]
[ROW][C]0.68[/C][C]8.72870242206026[/C][C]0.108873621993046[/C][/ROW]
[ROW][C]0.69[/C][C]8.74810055436678[/C][C]0.0964837551066037[/C][/ROW]
[ROW][C]0.7[/C][C]8.76527756495324[/C][C]0.0843010626330458[/C][/ROW]
[ROW][C]0.71[/C][C]8.78031936323281[/C][C]0.0727105010444278[/C][/ROW]
[ROW][C]0.72[/C][C]8.7933832670891[/C][C]0.062083447323184[/C][/ROW]
[ROW][C]0.73[/C][C]8.80468905859346[/C][C]0.0527293007318738[/C][/ROW]
[ROW][C]0.74[/C][C]8.81450418245425[/C][C]0.0448758296589817[/C][/ROW]
[ROW][C]0.75[/C][C]8.82312517193461[/C][C]0.0386636463296996[/C][/ROW]
[ROW][C]0.76[/C][C]8.8308580610322[/C][C]0.0341050726320195[/C][/ROW]
[ROW][C]0.77[/C][C]8.83800053995894[/C][C]0.0311102556863353[/C][/ROW]
[ROW][C]0.78[/C][C]8.84482781612449[/C][C]0.0294789156785147[/C][/ROW]
[ROW][C]0.79[/C][C]8.85158270043822[/C][C]0.0289617909846943[/C][/ROW]
[ROW][C]0.8[/C][C]8.85846880608739[/C][C]0.0293007178542635[/C][/ROW]
[ROW][C]0.81[/C][C]8.86564461247752[/C][C]0.0302566189144898[/C][/ROW]
[ROW][C]0.82[/C][C]8.87321618494984[/C][C]0.0315775622489292[/C][/ROW]
[ROW][C]0.83[/C][C]8.88122784720358[/C][C]0.0329821969868553[/C][/ROW]
[ROW][C]0.84[/C][C]8.88965267107975[/C][C]0.0341463566710455[/C][/ROW]
[ROW][C]0.85[/C][C]8.89838711905173[/C][C]0.03472215663013[/C][/ROW]
[ROW][C]0.86[/C][C]8.90725506095436[/C][C]0.0344220846679271[/C][/ROW]
[ROW][C]0.87[/C][C]8.91602473854747[/C][C]0.0330572155250985[/C][/ROW]
[ROW][C]0.88[/C][C]8.92443859036118[/C][C]0.0306171735647134[/C][/ROW]
[ROW][C]0.89[/C][C]8.93225248934078[/C][C]0.0272692106956948[/C][/ROW]
[ROW][C]0.9[/C][C]8.9392810206479[/C][C]0.0233244201221134[/C][/ROW]
[ROW][C]0.91[/C][C]8.9454502972001[/C][C]0.0191956242883208[/C][/ROW]
[ROW][C]0.92[/C][C]8.95086524668448[/C][C]0.0153670010655023[/C][/ROW]
[ROW][C]0.93[/C][C]8.95589130183068[/C][C]0.0125164255521616[/C][/ROW]
[ROW][C]0.94[/C][C]8.96121219177171[/C][C]0.0117858401585954[/C][/ROW]
[ROW][C]0.95[/C][C]8.96775204475724[/C][C]0.0143158413266193[/C][/ROW]
[ROW][C]0.96[/C][C]8.97629809095287[/C][C]0.0193108303218683[/C][/ROW]
[ROW][C]0.97[/C][C]8.98678293363826[/C][C]0.0233893057787143[/C][/ROW]
[ROW][C]0.98[/C][C]8.99762605824832[/C][C]0.021624548998357[/C][/ROW]
[ROW][C]0.99[/C][C]9.00605488889365[/C][C]0.0117048139044385[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207101&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207101&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
0.016.956137408875510.0445038633924329
0.026.98231322001240.0500131101334098
0.037.010756984506920.0497009643872135
0.047.036578163538220.0448144563932497
0.057.058351401772890.0401027097157695
0.067.076702422687530.0385257352782599
0.077.092954075829050.0401546926833477
0.087.108326277433940.0436952706303843
0.097.123634923279650.0479521972774168
0.17.139298729890530.0522204627234899
0.117.155472721822270.0562601827337275
0.127.172192502699270.060187739890152
0.137.189477226868540.0643212309693834
0.147.207378704615430.068961959053929
0.157.225983398268680.0742375399739306
0.167.245382771906390.0800282214276932
0.177.265630539208120.0859567548888473
0.187.286704123615960.0915066752250399
0.197.308482945285450.096125440071073
0.27.330749604872610.0993499677458403
0.217.353213553850540.100890024520849
0.227.375551820192010.100685386527653
0.237.397458389552590.0989397088245593
0.247.418692911385940.0960845094745068
0.257.439120207448580.0927562002077849
0.267.458734211714140.0897179417786465
0.277.477663004574130.087735219893095
0.287.496154973290880.0874789048184512
0.297.514549235630430.0893902064443985
0.37.533235760402420.0936044651037828
0.317.552611749375260.0999628447452951
0.327.573040722942260.108079947470155
0.337.594819560929090.117426982366485
0.347.618156865249770.127443253429202
0.357.64316387997060.137576716417019
0.367.669857233601950.147369983432195
0.377.698171251058430.15643218764026
0.387.727976671631840.164521000715848
0.397.759102328146940.171505878680356
0.47.791356614754660.177367795806404
0.417.824546252546670.182174598266591
0.427.858490771594320.186040440991219
0.437.893032074089860.18912322085596
0.447.928039255746730.191561725885021
0.457.963409422343550.193525092057312
0.467.999065500248320.19510807980511
0.478.034952038592610.196420416491261
0.488.071029832634970.197502760590511
0.498.107269981747330.19842793785487
0.58.143647827607390.199183273890497
0.518.180137138164640.199739922704399
0.528.216704886372370.200057261281234
0.538.253306953778180.200036166603107
0.548.289885002511960.199583957502848
0.558.326364580969140.198603963151908
0.568.362654295567760.197016013179782
0.578.398645679814830.194723249477239
0.588.434213320220.191672947463072
0.598.469214917915630.187794742232836
0.68.503491266207890.183032459981046
0.618.536866522538460.177301397329354
0.628.569149513084490.17054879763527
0.638.600136990237740.162711216644836
0.648.629619672269650.153773274674167
0.658.65739151077410.143773641085224
0.668.683262016298380.132822487531061
0.678.707070750605970.12109857234568
0.688.728702422060260.108873621993046
0.698.748100554366780.0964837551066037
0.78.765277564953240.0843010626330458
0.718.780319363232810.0727105010444278
0.728.79338326708910.062083447323184
0.738.804689058593460.0527293007318738
0.748.814504182454250.0448758296589817
0.758.823125171934610.0386636463296996
0.768.83085806103220.0341050726320195
0.778.838000539958940.0311102556863353
0.788.844827816124490.0294789156785147
0.798.851582700438220.0289617909846943
0.88.858468806087390.0293007178542635
0.818.865644612477520.0302566189144898
0.828.873216184949840.0315775622489292
0.838.881227847203580.0329821969868553
0.848.889652671079750.0341463566710455
0.858.898387119051730.03472215663013
0.868.907255060954360.0344220846679271
0.878.916024738547470.0330572155250985
0.888.924438590361180.0306171735647134
0.898.932252489340780.0272692106956948
0.98.93928102064790.0233244201221134
0.918.94545029720010.0191956242883208
0.928.950865246684480.0153670010655023
0.938.955891301830680.0125164255521616
0.948.961212191771710.0117858401585954
0.958.967752044757240.0143158413266193
0.968.976298090952870.0193108303218683
0.978.986782933638260.0233893057787143
0.988.997626058248320.021624548998357
0.999.006054888893650.0117048139044385


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')