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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 computationWed, 10 Mar 2010 06:08:23 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/10/t12682268048qf0lt28oo0aog2.htm/, Retrieved Sun, 06 Oct 2024 08:16:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74271, Retrieved Sun, 06 Oct 2024 08:16:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact268

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] [] [2010-02-09 18:34:03] [2b5a188751227050025c4bb07404e527]
- RMP     [Harrell-Davis Quantiles] [] [2010-03-10 13:08:23] [589929edeb20bd59f78e9be1ffd92c80] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2
2.4
1.5
1.2
1.5
0.6
2.7
3.7
4.9
6.6
7.4
7.2
5.3
4.7
6.1
6.6
7
7.5
6.6
7.8
4.7
5.4
4.3
4.5
5.8
4.6
5.2
3.6
4.8
6.7
6.3
4.8
8.7
6.8
7.4
9
7.9
9.1
8.7
9.8
6.4
6.1
4.7
4.8
4.2
2.8
6.1
5.8
4.9
4.6
4.1
3.6
5.9
4.5
4.8
5.7
5
7
4.6
2.6
5
4.1
3.2
0
2.3
3.8
4.5
5.9
5
4.2
4.5
6

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74271&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74271&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74271&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.2058879502109310.575647715014202
0.020.5206003254344830.559446936440224
0.030.8461085613906420.531342569925589
0.041.134888334773340.496132540898931
0.051.380907383979590.474914864592223
0.061.594311362774310.473856257287366
0.071.786439983001580.4821066401933
0.081.964807914340870.488222664020169
0.092.133172208278130.488918523083206
0.12.293268933172660.487523348712476
0.112.446348311846780.488967798405543
0.122.593822065477950.495735854419089
0.132.737144844264890.506580072318019
0.142.877384893270460.517696318507783
0.153.014888038855240.524797733969685
0.163.149220525743130.5247562571386
0.173.279372046080850.516309817582674
0.183.404091798404390.500008314630375
0.193.522217703384970.477635506677853
0.23.632904484317880.451480743054502
0.213.735718657540520.423700354801357
0.223.830618678540690.395921460874682
0.233.917864317236810.369142200211705
0.243.99790202877670.343819517446796
0.254.07126119677030.320042884709081
0.264.138479464598670.297705310321268
0.274.200061018443420.276650561727653
0.284.256462703168460.256719625477451
0.294.308099083337360.237846809617784
0.34.355357317210920.220037761498024
0.314.398614228716900.203414414240879
0.324.438250110006320.188163027071556
0.334.474656070943140.174493600609773
0.344.508233985753150.162601435693932
0.354.539390094207060.15260072090987
0.364.568524832126720.144499840167416
0.374.596022230332580.138215496483777
0.384.622242110558510.133602221007706
0.394.647517422096560.130490274810753
0.44.672157700941920.128762176383562
0.414.69645817834830.128378739544210
0.424.720712860083230.129414239054811
0.434.745229147730210.132026046046949
0.444.77034132133150.136460669905214
0.454.796420359431870.143017351056565
0.464.823877987731770.151971730271724
0.474.853163384680960.163557833991123
0.484.884751562842170.177897085212304
0.494.919123103491210.194959092405778
0.54.956735720522620.214523610436664
0.514.997989138610340.23613400856014
0.525.043185988631450.259118362592098
0.535.092492724333180.282555645206486
0.545.14590568513430.305367147160074
0.555.203228016411020.326366968235307
0.565.264062862335480.344376026728084
0.575.327826848690990.358357436297351
0.585.393785393410890.367529781418984
0.595.461108128472570.371477991729958
0.65.528939249316870.37024918393201
0.615.596474623286480.364336810754057
0.625.663035648268810.354666874651851
0.635.728129616440370.342479521694846
0.645.791487851794190.329211569535494
0.655.853075961983990.316305002384741
0.665.913074703672710.305008341239084
0.675.971834561653090.296245952339062
0.686.029811474185980.290467933444520
0.696.087494497397120.28760389797427
0.76.1453379458890.287141755251789
0.716.203710152706270.28826417002523
0.726.262868178137730.290082582708442
0.736.322962701289880.291823904314118
0.746.384070681990240.293043533993334
0.756.446246560361650.293685271254991
0.766.509577606554730.294081953609105
0.776.574227393299550.294839178207490
0.786.640454482452750.296592193268504
0.796.708601364075840.299789878351676
0.86.779060070353130.304509010695078
0.816.852232946137270.310432731927933
0.826.928516071918980.317015429202337
0.837.008334662515590.323798671613736
0.847.092250422543250.330801156995388
0.857.181137319888190.338903881630022
0.867.276384147089270.350030719522562
0.877.380034956863170.366925343904252
0.887.494737717630960.392187982885494
0.897.623366822606060.426571362873376
0.97.768255269045730.46713328457045
0.917.93014578268520.506283339527316
0.928.107232139002380.532782252887216
0.938.294935632675160.535158841191785
0.948.487229044186050.506990291842821
0.958.68019310900910.452364737499686
0.968.877436087934270.390353290838795
0.979.093350498165020.360897524726966
0.989.343107745179850.41730700410855
0.999.607863655702890.558435264054461

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.205887950210931 & 0.575647715014202 \tabularnewline
0.02 & 0.520600325434483 & 0.559446936440224 \tabularnewline
0.03 & 0.846108561390642 & 0.531342569925589 \tabularnewline
0.04 & 1.13488833477334 & 0.496132540898931 \tabularnewline
0.05 & 1.38090738397959 & 0.474914864592223 \tabularnewline
0.06 & 1.59431136277431 & 0.473856257287366 \tabularnewline
0.07 & 1.78643998300158 & 0.4821066401933 \tabularnewline
0.08 & 1.96480791434087 & 0.488222664020169 \tabularnewline
0.09 & 2.13317220827813 & 0.488918523083206 \tabularnewline
0.1 & 2.29326893317266 & 0.487523348712476 \tabularnewline
0.11 & 2.44634831184678 & 0.488967798405543 \tabularnewline
0.12 & 2.59382206547795 & 0.495735854419089 \tabularnewline
0.13 & 2.73714484426489 & 0.506580072318019 \tabularnewline
0.14 & 2.87738489327046 & 0.517696318507783 \tabularnewline
0.15 & 3.01488803885524 & 0.524797733969685 \tabularnewline
0.16 & 3.14922052574313 & 0.5247562571386 \tabularnewline
0.17 & 3.27937204608085 & 0.516309817582674 \tabularnewline
0.18 & 3.40409179840439 & 0.500008314630375 \tabularnewline
0.19 & 3.52221770338497 & 0.477635506677853 \tabularnewline
0.2 & 3.63290448431788 & 0.451480743054502 \tabularnewline
0.21 & 3.73571865754052 & 0.423700354801357 \tabularnewline
0.22 & 3.83061867854069 & 0.395921460874682 \tabularnewline
0.23 & 3.91786431723681 & 0.369142200211705 \tabularnewline
0.24 & 3.9979020287767 & 0.343819517446796 \tabularnewline
0.25 & 4.0712611967703 & 0.320042884709081 \tabularnewline
0.26 & 4.13847946459867 & 0.297705310321268 \tabularnewline
0.27 & 4.20006101844342 & 0.276650561727653 \tabularnewline
0.28 & 4.25646270316846 & 0.256719625477451 \tabularnewline
0.29 & 4.30809908333736 & 0.237846809617784 \tabularnewline
0.3 & 4.35535731721092 & 0.220037761498024 \tabularnewline
0.31 & 4.39861422871690 & 0.203414414240879 \tabularnewline
0.32 & 4.43825011000632 & 0.188163027071556 \tabularnewline
0.33 & 4.47465607094314 & 0.174493600609773 \tabularnewline
0.34 & 4.50823398575315 & 0.162601435693932 \tabularnewline
0.35 & 4.53939009420706 & 0.15260072090987 \tabularnewline
0.36 & 4.56852483212672 & 0.144499840167416 \tabularnewline
0.37 & 4.59602223033258 & 0.138215496483777 \tabularnewline
0.38 & 4.62224211055851 & 0.133602221007706 \tabularnewline
0.39 & 4.64751742209656 & 0.130490274810753 \tabularnewline
0.4 & 4.67215770094192 & 0.128762176383562 \tabularnewline
0.41 & 4.6964581783483 & 0.128378739544210 \tabularnewline
0.42 & 4.72071286008323 & 0.129414239054811 \tabularnewline
0.43 & 4.74522914773021 & 0.132026046046949 \tabularnewline
0.44 & 4.7703413213315 & 0.136460669905214 \tabularnewline
0.45 & 4.79642035943187 & 0.143017351056565 \tabularnewline
0.46 & 4.82387798773177 & 0.151971730271724 \tabularnewline
0.47 & 4.85316338468096 & 0.163557833991123 \tabularnewline
0.48 & 4.88475156284217 & 0.177897085212304 \tabularnewline
0.49 & 4.91912310349121 & 0.194959092405778 \tabularnewline
0.5 & 4.95673572052262 & 0.214523610436664 \tabularnewline
0.51 & 4.99798913861034 & 0.23613400856014 \tabularnewline
0.52 & 5.04318598863145 & 0.259118362592098 \tabularnewline
0.53 & 5.09249272433318 & 0.282555645206486 \tabularnewline
0.54 & 5.1459056851343 & 0.305367147160074 \tabularnewline
0.55 & 5.20322801641102 & 0.326366968235307 \tabularnewline
0.56 & 5.26406286233548 & 0.344376026728084 \tabularnewline
0.57 & 5.32782684869099 & 0.358357436297351 \tabularnewline
0.58 & 5.39378539341089 & 0.367529781418984 \tabularnewline
0.59 & 5.46110812847257 & 0.371477991729958 \tabularnewline
0.6 & 5.52893924931687 & 0.37024918393201 \tabularnewline
0.61 & 5.59647462328648 & 0.364336810754057 \tabularnewline
0.62 & 5.66303564826881 & 0.354666874651851 \tabularnewline
0.63 & 5.72812961644037 & 0.342479521694846 \tabularnewline
0.64 & 5.79148785179419 & 0.329211569535494 \tabularnewline
0.65 & 5.85307596198399 & 0.316305002384741 \tabularnewline
0.66 & 5.91307470367271 & 0.305008341239084 \tabularnewline
0.67 & 5.97183456165309 & 0.296245952339062 \tabularnewline
0.68 & 6.02981147418598 & 0.290467933444520 \tabularnewline
0.69 & 6.08749449739712 & 0.28760389797427 \tabularnewline
0.7 & 6.145337945889 & 0.287141755251789 \tabularnewline
0.71 & 6.20371015270627 & 0.28826417002523 \tabularnewline
0.72 & 6.26286817813773 & 0.290082582708442 \tabularnewline
0.73 & 6.32296270128988 & 0.291823904314118 \tabularnewline
0.74 & 6.38407068199024 & 0.293043533993334 \tabularnewline
0.75 & 6.44624656036165 & 0.293685271254991 \tabularnewline
0.76 & 6.50957760655473 & 0.294081953609105 \tabularnewline
0.77 & 6.57422739329955 & 0.294839178207490 \tabularnewline
0.78 & 6.64045448245275 & 0.296592193268504 \tabularnewline
0.79 & 6.70860136407584 & 0.299789878351676 \tabularnewline
0.8 & 6.77906007035313 & 0.304509010695078 \tabularnewline
0.81 & 6.85223294613727 & 0.310432731927933 \tabularnewline
0.82 & 6.92851607191898 & 0.317015429202337 \tabularnewline
0.83 & 7.00833466251559 & 0.323798671613736 \tabularnewline
0.84 & 7.09225042254325 & 0.330801156995388 \tabularnewline
0.85 & 7.18113731988819 & 0.338903881630022 \tabularnewline
0.86 & 7.27638414708927 & 0.350030719522562 \tabularnewline
0.87 & 7.38003495686317 & 0.366925343904252 \tabularnewline
0.88 & 7.49473771763096 & 0.392187982885494 \tabularnewline
0.89 & 7.62336682260606 & 0.426571362873376 \tabularnewline
0.9 & 7.76825526904573 & 0.46713328457045 \tabularnewline
0.91 & 7.9301457826852 & 0.506283339527316 \tabularnewline
0.92 & 8.10723213900238 & 0.532782252887216 \tabularnewline
0.93 & 8.29493563267516 & 0.535158841191785 \tabularnewline
0.94 & 8.48722904418605 & 0.506990291842821 \tabularnewline
0.95 & 8.6801931090091 & 0.452364737499686 \tabularnewline
0.96 & 8.87743608793427 & 0.390353290838795 \tabularnewline
0.97 & 9.09335049816502 & 0.360897524726966 \tabularnewline
0.98 & 9.34310774517985 & 0.41730700410855 \tabularnewline
0.99 & 9.60786365570289 & 0.558435264054461 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74271&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]0.205887950210931[/C][C]0.575647715014202[/C][/ROW]
[ROW][C]0.02[/C][C]0.520600325434483[/C][C]0.559446936440224[/C][/ROW]
[ROW][C]0.03[/C][C]0.846108561390642[/C][C]0.531342569925589[/C][/ROW]
[ROW][C]0.04[/C][C]1.13488833477334[/C][C]0.496132540898931[/C][/ROW]
[ROW][C]0.05[/C][C]1.38090738397959[/C][C]0.474914864592223[/C][/ROW]
[ROW][C]0.06[/C][C]1.59431136277431[/C][C]0.473856257287366[/C][/ROW]
[ROW][C]0.07[/C][C]1.78643998300158[/C][C]0.4821066401933[/C][/ROW]
[ROW][C]0.08[/C][C]1.96480791434087[/C][C]0.488222664020169[/C][/ROW]
[ROW][C]0.09[/C][C]2.13317220827813[/C][C]0.488918523083206[/C][/ROW]
[ROW][C]0.1[/C][C]2.29326893317266[/C][C]0.487523348712476[/C][/ROW]
[ROW][C]0.11[/C][C]2.44634831184678[/C][C]0.488967798405543[/C][/ROW]
[ROW][C]0.12[/C][C]2.59382206547795[/C][C]0.495735854419089[/C][/ROW]
[ROW][C]0.13[/C][C]2.73714484426489[/C][C]0.506580072318019[/C][/ROW]
[ROW][C]0.14[/C][C]2.87738489327046[/C][C]0.517696318507783[/C][/ROW]
[ROW][C]0.15[/C][C]3.01488803885524[/C][C]0.524797733969685[/C][/ROW]
[ROW][C]0.16[/C][C]3.14922052574313[/C][C]0.5247562571386[/C][/ROW]
[ROW][C]0.17[/C][C]3.27937204608085[/C][C]0.516309817582674[/C][/ROW]
[ROW][C]0.18[/C][C]3.40409179840439[/C][C]0.500008314630375[/C][/ROW]
[ROW][C]0.19[/C][C]3.52221770338497[/C][C]0.477635506677853[/C][/ROW]
[ROW][C]0.2[/C][C]3.63290448431788[/C][C]0.451480743054502[/C][/ROW]
[ROW][C]0.21[/C][C]3.73571865754052[/C][C]0.423700354801357[/C][/ROW]
[ROW][C]0.22[/C][C]3.83061867854069[/C][C]0.395921460874682[/C][/ROW]
[ROW][C]0.23[/C][C]3.91786431723681[/C][C]0.369142200211705[/C][/ROW]
[ROW][C]0.24[/C][C]3.9979020287767[/C][C]0.343819517446796[/C][/ROW]
[ROW][C]0.25[/C][C]4.0712611967703[/C][C]0.320042884709081[/C][/ROW]
[ROW][C]0.26[/C][C]4.13847946459867[/C][C]0.297705310321268[/C][/ROW]
[ROW][C]0.27[/C][C]4.20006101844342[/C][C]0.276650561727653[/C][/ROW]
[ROW][C]0.28[/C][C]4.25646270316846[/C][C]0.256719625477451[/C][/ROW]
[ROW][C]0.29[/C][C]4.30809908333736[/C][C]0.237846809617784[/C][/ROW]
[ROW][C]0.3[/C][C]4.35535731721092[/C][C]0.220037761498024[/C][/ROW]
[ROW][C]0.31[/C][C]4.39861422871690[/C][C]0.203414414240879[/C][/ROW]
[ROW][C]0.32[/C][C]4.43825011000632[/C][C]0.188163027071556[/C][/ROW]
[ROW][C]0.33[/C][C]4.47465607094314[/C][C]0.174493600609773[/C][/ROW]
[ROW][C]0.34[/C][C]4.50823398575315[/C][C]0.162601435693932[/C][/ROW]
[ROW][C]0.35[/C][C]4.53939009420706[/C][C]0.15260072090987[/C][/ROW]
[ROW][C]0.36[/C][C]4.56852483212672[/C][C]0.144499840167416[/C][/ROW]
[ROW][C]0.37[/C][C]4.59602223033258[/C][C]0.138215496483777[/C][/ROW]
[ROW][C]0.38[/C][C]4.62224211055851[/C][C]0.133602221007706[/C][/ROW]
[ROW][C]0.39[/C][C]4.64751742209656[/C][C]0.130490274810753[/C][/ROW]
[ROW][C]0.4[/C][C]4.67215770094192[/C][C]0.128762176383562[/C][/ROW]
[ROW][C]0.41[/C][C]4.6964581783483[/C][C]0.128378739544210[/C][/ROW]
[ROW][C]0.42[/C][C]4.72071286008323[/C][C]0.129414239054811[/C][/ROW]
[ROW][C]0.43[/C][C]4.74522914773021[/C][C]0.132026046046949[/C][/ROW]
[ROW][C]0.44[/C][C]4.7703413213315[/C][C]0.136460669905214[/C][/ROW]
[ROW][C]0.45[/C][C]4.79642035943187[/C][C]0.143017351056565[/C][/ROW]
[ROW][C]0.46[/C][C]4.82387798773177[/C][C]0.151971730271724[/C][/ROW]
[ROW][C]0.47[/C][C]4.85316338468096[/C][C]0.163557833991123[/C][/ROW]
[ROW][C]0.48[/C][C]4.88475156284217[/C][C]0.177897085212304[/C][/ROW]
[ROW][C]0.49[/C][C]4.91912310349121[/C][C]0.194959092405778[/C][/ROW]
[ROW][C]0.5[/C][C]4.95673572052262[/C][C]0.214523610436664[/C][/ROW]
[ROW][C]0.51[/C][C]4.99798913861034[/C][C]0.23613400856014[/C][/ROW]
[ROW][C]0.52[/C][C]5.04318598863145[/C][C]0.259118362592098[/C][/ROW]
[ROW][C]0.53[/C][C]5.09249272433318[/C][C]0.282555645206486[/C][/ROW]
[ROW][C]0.54[/C][C]5.1459056851343[/C][C]0.305367147160074[/C][/ROW]
[ROW][C]0.55[/C][C]5.20322801641102[/C][C]0.326366968235307[/C][/ROW]
[ROW][C]0.56[/C][C]5.26406286233548[/C][C]0.344376026728084[/C][/ROW]
[ROW][C]0.57[/C][C]5.32782684869099[/C][C]0.358357436297351[/C][/ROW]
[ROW][C]0.58[/C][C]5.39378539341089[/C][C]0.367529781418984[/C][/ROW]
[ROW][C]0.59[/C][C]5.46110812847257[/C][C]0.371477991729958[/C][/ROW]
[ROW][C]0.6[/C][C]5.52893924931687[/C][C]0.37024918393201[/C][/ROW]
[ROW][C]0.61[/C][C]5.59647462328648[/C][C]0.364336810754057[/C][/ROW]
[ROW][C]0.62[/C][C]5.66303564826881[/C][C]0.354666874651851[/C][/ROW]
[ROW][C]0.63[/C][C]5.72812961644037[/C][C]0.342479521694846[/C][/ROW]
[ROW][C]0.64[/C][C]5.79148785179419[/C][C]0.329211569535494[/C][/ROW]
[ROW][C]0.65[/C][C]5.85307596198399[/C][C]0.316305002384741[/C][/ROW]
[ROW][C]0.66[/C][C]5.91307470367271[/C][C]0.305008341239084[/C][/ROW]
[ROW][C]0.67[/C][C]5.97183456165309[/C][C]0.296245952339062[/C][/ROW]
[ROW][C]0.68[/C][C]6.02981147418598[/C][C]0.290467933444520[/C][/ROW]
[ROW][C]0.69[/C][C]6.08749449739712[/C][C]0.28760389797427[/C][/ROW]
[ROW][C]0.7[/C][C]6.145337945889[/C][C]0.287141755251789[/C][/ROW]
[ROW][C]0.71[/C][C]6.20371015270627[/C][C]0.28826417002523[/C][/ROW]
[ROW][C]0.72[/C][C]6.26286817813773[/C][C]0.290082582708442[/C][/ROW]
[ROW][C]0.73[/C][C]6.32296270128988[/C][C]0.291823904314118[/C][/ROW]
[ROW][C]0.74[/C][C]6.38407068199024[/C][C]0.293043533993334[/C][/ROW]
[ROW][C]0.75[/C][C]6.44624656036165[/C][C]0.293685271254991[/C][/ROW]
[ROW][C]0.76[/C][C]6.50957760655473[/C][C]0.294081953609105[/C][/ROW]
[ROW][C]0.77[/C][C]6.57422739329955[/C][C]0.294839178207490[/C][/ROW]
[ROW][C]0.78[/C][C]6.64045448245275[/C][C]0.296592193268504[/C][/ROW]
[ROW][C]0.79[/C][C]6.70860136407584[/C][C]0.299789878351676[/C][/ROW]
[ROW][C]0.8[/C][C]6.77906007035313[/C][C]0.304509010695078[/C][/ROW]
[ROW][C]0.81[/C][C]6.85223294613727[/C][C]0.310432731927933[/C][/ROW]
[ROW][C]0.82[/C][C]6.92851607191898[/C][C]0.317015429202337[/C][/ROW]
[ROW][C]0.83[/C][C]7.00833466251559[/C][C]0.323798671613736[/C][/ROW]
[ROW][C]0.84[/C][C]7.09225042254325[/C][C]0.330801156995388[/C][/ROW]
[ROW][C]0.85[/C][C]7.18113731988819[/C][C]0.338903881630022[/C][/ROW]
[ROW][C]0.86[/C][C]7.27638414708927[/C][C]0.350030719522562[/C][/ROW]
[ROW][C]0.87[/C][C]7.38003495686317[/C][C]0.366925343904252[/C][/ROW]
[ROW][C]0.88[/C][C]7.49473771763096[/C][C]0.392187982885494[/C][/ROW]
[ROW][C]0.89[/C][C]7.62336682260606[/C][C]0.426571362873376[/C][/ROW]
[ROW][C]0.9[/C][C]7.76825526904573[/C][C]0.46713328457045[/C][/ROW]
[ROW][C]0.91[/C][C]7.9301457826852[/C][C]0.506283339527316[/C][/ROW]
[ROW][C]0.92[/C][C]8.10723213900238[/C][C]0.532782252887216[/C][/ROW]
[ROW][C]0.93[/C][C]8.29493563267516[/C][C]0.535158841191785[/C][/ROW]
[ROW][C]0.94[/C][C]8.48722904418605[/C][C]0.506990291842821[/C][/ROW]
[ROW][C]0.95[/C][C]8.6801931090091[/C][C]0.452364737499686[/C][/ROW]
[ROW][C]0.96[/C][C]8.87743608793427[/C][C]0.390353290838795[/C][/ROW]
[ROW][C]0.97[/C][C]9.09335049816502[/C][C]0.360897524726966[/C][/ROW]
[ROW][C]0.98[/C][C]9.34310774517985[/C][C]0.41730700410855[/C][/ROW]
[ROW][C]0.99[/C][C]9.60786365570289[/C][C]0.558435264054461[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74271&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74271&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
0.010.2058879502109310.575647715014202
0.020.5206003254344830.559446936440224
0.030.8461085613906420.531342569925589
0.041.134888334773340.496132540898931
0.051.380907383979590.474914864592223
0.061.594311362774310.473856257287366
0.071.786439983001580.4821066401933
0.081.964807914340870.488222664020169
0.092.133172208278130.488918523083206
0.12.293268933172660.487523348712476
0.112.446348311846780.488967798405543
0.122.593822065477950.495735854419089
0.132.737144844264890.506580072318019
0.142.877384893270460.517696318507783
0.153.014888038855240.524797733969685
0.163.149220525743130.5247562571386
0.173.279372046080850.516309817582674
0.183.404091798404390.500008314630375
0.193.522217703384970.477635506677853
0.23.632904484317880.451480743054502
0.213.735718657540520.423700354801357
0.223.830618678540690.395921460874682
0.233.917864317236810.369142200211705
0.243.99790202877670.343819517446796
0.254.07126119677030.320042884709081
0.264.138479464598670.297705310321268
0.274.200061018443420.276650561727653
0.284.256462703168460.256719625477451
0.294.308099083337360.237846809617784
0.34.355357317210920.220037761498024
0.314.398614228716900.203414414240879
0.324.438250110006320.188163027071556
0.334.474656070943140.174493600609773
0.344.508233985753150.162601435693932
0.354.539390094207060.15260072090987
0.364.568524832126720.144499840167416
0.374.596022230332580.138215496483777
0.384.622242110558510.133602221007706
0.394.647517422096560.130490274810753
0.44.672157700941920.128762176383562
0.414.69645817834830.128378739544210
0.424.720712860083230.129414239054811
0.434.745229147730210.132026046046949
0.444.77034132133150.136460669905214
0.454.796420359431870.143017351056565
0.464.823877987731770.151971730271724
0.474.853163384680960.163557833991123
0.484.884751562842170.177897085212304
0.494.919123103491210.194959092405778
0.54.956735720522620.214523610436664
0.514.997989138610340.23613400856014
0.525.043185988631450.259118362592098
0.535.092492724333180.282555645206486
0.545.14590568513430.305367147160074
0.555.203228016411020.326366968235307
0.565.264062862335480.344376026728084
0.575.327826848690990.358357436297351
0.585.393785393410890.367529781418984
0.595.461108128472570.371477991729958
0.65.528939249316870.37024918393201
0.615.596474623286480.364336810754057
0.625.663035648268810.354666874651851
0.635.728129616440370.342479521694846
0.645.791487851794190.329211569535494
0.655.853075961983990.316305002384741
0.665.913074703672710.305008341239084
0.675.971834561653090.296245952339062
0.686.029811474185980.290467933444520
0.696.087494497397120.28760389797427
0.76.1453379458890.287141755251789
0.716.203710152706270.28826417002523
0.726.262868178137730.290082582708442
0.736.322962701289880.291823904314118
0.746.384070681990240.293043533993334
0.756.446246560361650.293685271254991
0.766.509577606554730.294081953609105
0.776.574227393299550.294839178207490
0.786.640454482452750.296592193268504
0.796.708601364075840.299789878351676
0.86.779060070353130.304509010695078
0.816.852232946137270.310432731927933
0.826.928516071918980.317015429202337
0.837.008334662515590.323798671613736
0.847.092250422543250.330801156995388
0.857.181137319888190.338903881630022
0.867.276384147089270.350030719522562
0.877.380034956863170.366925343904252
0.887.494737717630960.392187982885494
0.897.623366822606060.426571362873376
0.97.768255269045730.46713328457045
0.917.93014578268520.506283339527316
0.928.107232139002380.532782252887216
0.938.294935632675160.535158841191785
0.948.487229044186050.506990291842821
0.958.68019310900910.452364737499686
0.968.877436087934270.390353290838795
0.979.093350498165020.360897524726966
0.989.343107745179850.41730700410855
0.999.607863655702890.558435264054461


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')