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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 computationMon, 09 Aug 2010 18:49:47 +0000
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/Aug/09/t1281379765ysb5cn08mif5psr.htm/, Retrieved Mon, 29 Apr 2024 01:56:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78546, Retrieved Mon, 29 Apr 2024 01:56:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsThomas Talboom
Estimated Impact203

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [boxplot] [2010-07-02 16:18:31] [b6623a0531b43a362887826f077b4445]
- RMP     [Harrell-Davis Quantiles] [decielen] [2010-08-09 18:49:47] [58d9ccda37eeb031a0ffa1e9ea016ece] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
237
236
235
233
231
230
231
233
234
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237
246
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128
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106
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129

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=78546&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=78546&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78546&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
0.01107.1567007289832.85913438563348
0.02109.5584035125364.93510942348779
0.03112.7118161010436.06649231343425
0.04116.0667445188486.46246094089755
0.05119.2672080920716.3788348062389
0.06122.1470199860635.97804489466722
0.07124.6684420777265.50015697404241
0.08126.8782488489585.19560105332119
0.09128.8715015247965.19150736795125
0.1130.7539002660875.45618921538013
0.11132.6108453459995.86718705875314
0.12134.4919162564296.29440564250586
0.13136.4109078550946.64554732117137
0.14138.3555099337446.87366787173572
0.15140.2998399215486.9709809387852
0.16142.2151434470706.95293014180229
0.17144.0766901009946.84616006451959
0.18145.8669440203746.678854419107
0.19147.5761118127136.47748323557727
0.2149.2013293111296.26525872438303
0.21150.7454369524846.06278139057082
0.22152.2158770184555.8875841435021
0.23153.6239223291895.75648085626409
0.24154.9842475281065.68597818300369
0.25156.3147344131255.69435145241429
0.26157.6363204587145.80047536613826
0.27158.9726512765826.02241685282366
0.28160.3493044496496.3728612322187
0.29161.792430541496.8541594303336
0.3163.3267997982027.45552373425428
0.31164.9734176695538.15053351559193
0.32166.7470328633478.89973162187964
0.33168.6539639328339.65291624667417
0.34170.69068372202510.3558026000113
0.35172.84351499960610.9555829871109
0.36175.08961712131111.4083969294360
0.37177.39921456565211.6849649018051
0.38179.73878028300511.7745771818669
0.39182.07469218451911.6871187881969
0.4184.37677603355911.4496661089492
0.41186.62116092941811.1037295680677
0.42188.79200623733710.6978564281203
0.43190.88188370103710.2789636964785
0.44192.8908643580279.88563609522881
0.45194.8246047976459.54275018151142
0.46196.6918953379469.2586690476363
0.47198.5021893508399.0261716341489
0.48200.2635739769188.82907200307448
0.49201.9814931392438.6461015025295
0.5203.6583392314488.45817712876165
0.51205.2938401664548.25168593375439
0.52206.8860239787648.02122547374251
0.53208.4324653221187.76901731973235
0.54209.9315081875267.50378989119779
0.55211.3832034678047.23931868521415
0.56212.7897791574076.98975308436949
0.57214.1555571583286.7680395591898
0.58215.4863309439186.58284161350561
0.59216.7883134693776.43461819966676
0.6218.0668456024276.31666354517512
0.61219.3251104866536.21386927513808
0.62220.5631156678996.1058112518499
0.63221.7771725102095.97050767151529
0.64222.9600201923465.78849487028854
0.65224.1016209121455.546729559823
0.66225.1905175524595.24096258480858
0.67226.2155255456334.87657716834538
0.68227.1674559954274.46807791291201
0.69228.0405562788604.03622546928415
0.7228.8334109158293.60574407029965
0.71229.5491565732823.20062406819925
0.72230.1950046348522.84130143700884
0.73230.7812000091612.5416764595034
0.74231.3196440353342.30739896588178
0.75231.8224497571642.13570965405506
0.76232.3006724545052.01700191016229
0.77232.7633794149921.93763354068422
0.78233.2171203454681.88327439219494
0.79233.6657721080421.84078458598672
0.8234.1106903329881.79923062249177
0.81234.5511132343771.75047626926943
0.82234.9848022315701.68877249843917
0.83235.4089154687911.61200684148336
0.84235.8210446806461.52275578927790
0.85236.220206076151.42794254549546
0.86236.6074524917021.33802895661743
0.87236.9858288079181.26289610235383
0.88237.3597678579151.20675820031859
0.89237.7347018307891.16625491859927
0.9238.1183490071591.13629471923604
0.91238.5252238031471.12480048953547
0.92238.9845614263441.17019440167113
0.93239.5482515969511.34532287032417
0.94240.2900046838911.71202984590375
0.95241.2843389787692.22814174031919
0.96242.5637754366352.68919625191754
0.97244.0774842864852.79503598470698
0.98245.680547341992.43066831371385
0.99247.1213895535562.00403127227243

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 107.156700728983 & 2.85913438563348 \tabularnewline
0.02 & 109.558403512536 & 4.93510942348779 \tabularnewline
0.03 & 112.711816101043 & 6.06649231343425 \tabularnewline
0.04 & 116.066744518848 & 6.46246094089755 \tabularnewline
0.05 & 119.267208092071 & 6.3788348062389 \tabularnewline
0.06 & 122.147019986063 & 5.97804489466722 \tabularnewline
0.07 & 124.668442077726 & 5.50015697404241 \tabularnewline
0.08 & 126.878248848958 & 5.19560105332119 \tabularnewline
0.09 & 128.871501524796 & 5.19150736795125 \tabularnewline
0.1 & 130.753900266087 & 5.45618921538013 \tabularnewline
0.11 & 132.610845345999 & 5.86718705875314 \tabularnewline
0.12 & 134.491916256429 & 6.29440564250586 \tabularnewline
0.13 & 136.410907855094 & 6.64554732117137 \tabularnewline
0.14 & 138.355509933744 & 6.87366787173572 \tabularnewline
0.15 & 140.299839921548 & 6.9709809387852 \tabularnewline
0.16 & 142.215143447070 & 6.95293014180229 \tabularnewline
0.17 & 144.076690100994 & 6.84616006451959 \tabularnewline
0.18 & 145.866944020374 & 6.678854419107 \tabularnewline
0.19 & 147.576111812713 & 6.47748323557727 \tabularnewline
0.2 & 149.201329311129 & 6.26525872438303 \tabularnewline
0.21 & 150.745436952484 & 6.06278139057082 \tabularnewline
0.22 & 152.215877018455 & 5.8875841435021 \tabularnewline
0.23 & 153.623922329189 & 5.75648085626409 \tabularnewline
0.24 & 154.984247528106 & 5.68597818300369 \tabularnewline
0.25 & 156.314734413125 & 5.69435145241429 \tabularnewline
0.26 & 157.636320458714 & 5.80047536613826 \tabularnewline
0.27 & 158.972651276582 & 6.02241685282366 \tabularnewline
0.28 & 160.349304449649 & 6.3728612322187 \tabularnewline
0.29 & 161.79243054149 & 6.8541594303336 \tabularnewline
0.3 & 163.326799798202 & 7.45552373425428 \tabularnewline
0.31 & 164.973417669553 & 8.15053351559193 \tabularnewline
0.32 & 166.747032863347 & 8.89973162187964 \tabularnewline
0.33 & 168.653963932833 & 9.65291624667417 \tabularnewline
0.34 & 170.690683722025 & 10.3558026000113 \tabularnewline
0.35 & 172.843514999606 & 10.9555829871109 \tabularnewline
0.36 & 175.089617121311 & 11.4083969294360 \tabularnewline
0.37 & 177.399214565652 & 11.6849649018051 \tabularnewline
0.38 & 179.738780283005 & 11.7745771818669 \tabularnewline
0.39 & 182.074692184519 & 11.6871187881969 \tabularnewline
0.4 & 184.376776033559 & 11.4496661089492 \tabularnewline
0.41 & 186.621160929418 & 11.1037295680677 \tabularnewline
0.42 & 188.792006237337 & 10.6978564281203 \tabularnewline
0.43 & 190.881883701037 & 10.2789636964785 \tabularnewline
0.44 & 192.890864358027 & 9.88563609522881 \tabularnewline
0.45 & 194.824604797645 & 9.54275018151142 \tabularnewline
0.46 & 196.691895337946 & 9.2586690476363 \tabularnewline
0.47 & 198.502189350839 & 9.0261716341489 \tabularnewline
0.48 & 200.263573976918 & 8.82907200307448 \tabularnewline
0.49 & 201.981493139243 & 8.6461015025295 \tabularnewline
0.5 & 203.658339231448 & 8.45817712876165 \tabularnewline
0.51 & 205.293840166454 & 8.25168593375439 \tabularnewline
0.52 & 206.886023978764 & 8.02122547374251 \tabularnewline
0.53 & 208.432465322118 & 7.76901731973235 \tabularnewline
0.54 & 209.931508187526 & 7.50378989119779 \tabularnewline
0.55 & 211.383203467804 & 7.23931868521415 \tabularnewline
0.56 & 212.789779157407 & 6.98975308436949 \tabularnewline
0.57 & 214.155557158328 & 6.7680395591898 \tabularnewline
0.58 & 215.486330943918 & 6.58284161350561 \tabularnewline
0.59 & 216.788313469377 & 6.43461819966676 \tabularnewline
0.6 & 218.066845602427 & 6.31666354517512 \tabularnewline
0.61 & 219.325110486653 & 6.21386927513808 \tabularnewline
0.62 & 220.563115667899 & 6.1058112518499 \tabularnewline
0.63 & 221.777172510209 & 5.97050767151529 \tabularnewline
0.64 & 222.960020192346 & 5.78849487028854 \tabularnewline
0.65 & 224.101620912145 & 5.546729559823 \tabularnewline
0.66 & 225.190517552459 & 5.24096258480858 \tabularnewline
0.67 & 226.215525545633 & 4.87657716834538 \tabularnewline
0.68 & 227.167455995427 & 4.46807791291201 \tabularnewline
0.69 & 228.040556278860 & 4.03622546928415 \tabularnewline
0.7 & 228.833410915829 & 3.60574407029965 \tabularnewline
0.71 & 229.549156573282 & 3.20062406819925 \tabularnewline
0.72 & 230.195004634852 & 2.84130143700884 \tabularnewline
0.73 & 230.781200009161 & 2.5416764595034 \tabularnewline
0.74 & 231.319644035334 & 2.30739896588178 \tabularnewline
0.75 & 231.822449757164 & 2.13570965405506 \tabularnewline
0.76 & 232.300672454505 & 2.01700191016229 \tabularnewline
0.77 & 232.763379414992 & 1.93763354068422 \tabularnewline
0.78 & 233.217120345468 & 1.88327439219494 \tabularnewline
0.79 & 233.665772108042 & 1.84078458598672 \tabularnewline
0.8 & 234.110690332988 & 1.79923062249177 \tabularnewline
0.81 & 234.551113234377 & 1.75047626926943 \tabularnewline
0.82 & 234.984802231570 & 1.68877249843917 \tabularnewline
0.83 & 235.408915468791 & 1.61200684148336 \tabularnewline
0.84 & 235.821044680646 & 1.52275578927790 \tabularnewline
0.85 & 236.22020607615 & 1.42794254549546 \tabularnewline
0.86 & 236.607452491702 & 1.33802895661743 \tabularnewline
0.87 & 236.985828807918 & 1.26289610235383 \tabularnewline
0.88 & 237.359767857915 & 1.20675820031859 \tabularnewline
0.89 & 237.734701830789 & 1.16625491859927 \tabularnewline
0.9 & 238.118349007159 & 1.13629471923604 \tabularnewline
0.91 & 238.525223803147 & 1.12480048953547 \tabularnewline
0.92 & 238.984561426344 & 1.17019440167113 \tabularnewline
0.93 & 239.548251596951 & 1.34532287032417 \tabularnewline
0.94 & 240.290004683891 & 1.71202984590375 \tabularnewline
0.95 & 241.284338978769 & 2.22814174031919 \tabularnewline
0.96 & 242.563775436635 & 2.68919625191754 \tabularnewline
0.97 & 244.077484286485 & 2.79503598470698 \tabularnewline
0.98 & 245.68054734199 & 2.43066831371385 \tabularnewline
0.99 & 247.121389553556 & 2.00403127227243 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78546&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]107.156700728983[/C][C]2.85913438563348[/C][/ROW]
[ROW][C]0.02[/C][C]109.558403512536[/C][C]4.93510942348779[/C][/ROW]
[ROW][C]0.03[/C][C]112.711816101043[/C][C]6.06649231343425[/C][/ROW]
[ROW][C]0.04[/C][C]116.066744518848[/C][C]6.46246094089755[/C][/ROW]
[ROW][C]0.05[/C][C]119.267208092071[/C][C]6.3788348062389[/C][/ROW]
[ROW][C]0.06[/C][C]122.147019986063[/C][C]5.97804489466722[/C][/ROW]
[ROW][C]0.07[/C][C]124.668442077726[/C][C]5.50015697404241[/C][/ROW]
[ROW][C]0.08[/C][C]126.878248848958[/C][C]5.19560105332119[/C][/ROW]
[ROW][C]0.09[/C][C]128.871501524796[/C][C]5.19150736795125[/C][/ROW]
[ROW][C]0.1[/C][C]130.753900266087[/C][C]5.45618921538013[/C][/ROW]
[ROW][C]0.11[/C][C]132.610845345999[/C][C]5.86718705875314[/C][/ROW]
[ROW][C]0.12[/C][C]134.491916256429[/C][C]6.29440564250586[/C][/ROW]
[ROW][C]0.13[/C][C]136.410907855094[/C][C]6.64554732117137[/C][/ROW]
[ROW][C]0.14[/C][C]138.355509933744[/C][C]6.87366787173572[/C][/ROW]
[ROW][C]0.15[/C][C]140.299839921548[/C][C]6.9709809387852[/C][/ROW]
[ROW][C]0.16[/C][C]142.215143447070[/C][C]6.95293014180229[/C][/ROW]
[ROW][C]0.17[/C][C]144.076690100994[/C][C]6.84616006451959[/C][/ROW]
[ROW][C]0.18[/C][C]145.866944020374[/C][C]6.678854419107[/C][/ROW]
[ROW][C]0.19[/C][C]147.576111812713[/C][C]6.47748323557727[/C][/ROW]
[ROW][C]0.2[/C][C]149.201329311129[/C][C]6.26525872438303[/C][/ROW]
[ROW][C]0.21[/C][C]150.745436952484[/C][C]6.06278139057082[/C][/ROW]
[ROW][C]0.22[/C][C]152.215877018455[/C][C]5.8875841435021[/C][/ROW]
[ROW][C]0.23[/C][C]153.623922329189[/C][C]5.75648085626409[/C][/ROW]
[ROW][C]0.24[/C][C]154.984247528106[/C][C]5.68597818300369[/C][/ROW]
[ROW][C]0.25[/C][C]156.314734413125[/C][C]5.69435145241429[/C][/ROW]
[ROW][C]0.26[/C][C]157.636320458714[/C][C]5.80047536613826[/C][/ROW]
[ROW][C]0.27[/C][C]158.972651276582[/C][C]6.02241685282366[/C][/ROW]
[ROW][C]0.28[/C][C]160.349304449649[/C][C]6.3728612322187[/C][/ROW]
[ROW][C]0.29[/C][C]161.79243054149[/C][C]6.8541594303336[/C][/ROW]
[ROW][C]0.3[/C][C]163.326799798202[/C][C]7.45552373425428[/C][/ROW]
[ROW][C]0.31[/C][C]164.973417669553[/C][C]8.15053351559193[/C][/ROW]
[ROW][C]0.32[/C][C]166.747032863347[/C][C]8.89973162187964[/C][/ROW]
[ROW][C]0.33[/C][C]168.653963932833[/C][C]9.65291624667417[/C][/ROW]
[ROW][C]0.34[/C][C]170.690683722025[/C][C]10.3558026000113[/C][/ROW]
[ROW][C]0.35[/C][C]172.843514999606[/C][C]10.9555829871109[/C][/ROW]
[ROW][C]0.36[/C][C]175.089617121311[/C][C]11.4083969294360[/C][/ROW]
[ROW][C]0.37[/C][C]177.399214565652[/C][C]11.6849649018051[/C][/ROW]
[ROW][C]0.38[/C][C]179.738780283005[/C][C]11.7745771818669[/C][/ROW]
[ROW][C]0.39[/C][C]182.074692184519[/C][C]11.6871187881969[/C][/ROW]
[ROW][C]0.4[/C][C]184.376776033559[/C][C]11.4496661089492[/C][/ROW]
[ROW][C]0.41[/C][C]186.621160929418[/C][C]11.1037295680677[/C][/ROW]
[ROW][C]0.42[/C][C]188.792006237337[/C][C]10.6978564281203[/C][/ROW]
[ROW][C]0.43[/C][C]190.881883701037[/C][C]10.2789636964785[/C][/ROW]
[ROW][C]0.44[/C][C]192.890864358027[/C][C]9.88563609522881[/C][/ROW]
[ROW][C]0.45[/C][C]194.824604797645[/C][C]9.54275018151142[/C][/ROW]
[ROW][C]0.46[/C][C]196.691895337946[/C][C]9.2586690476363[/C][/ROW]
[ROW][C]0.47[/C][C]198.502189350839[/C][C]9.0261716341489[/C][/ROW]
[ROW][C]0.48[/C][C]200.263573976918[/C][C]8.82907200307448[/C][/ROW]
[ROW][C]0.49[/C][C]201.981493139243[/C][C]8.6461015025295[/C][/ROW]
[ROW][C]0.5[/C][C]203.658339231448[/C][C]8.45817712876165[/C][/ROW]
[ROW][C]0.51[/C][C]205.293840166454[/C][C]8.25168593375439[/C][/ROW]
[ROW][C]0.52[/C][C]206.886023978764[/C][C]8.02122547374251[/C][/ROW]
[ROW][C]0.53[/C][C]208.432465322118[/C][C]7.76901731973235[/C][/ROW]
[ROW][C]0.54[/C][C]209.931508187526[/C][C]7.50378989119779[/C][/ROW]
[ROW][C]0.55[/C][C]211.383203467804[/C][C]7.23931868521415[/C][/ROW]
[ROW][C]0.56[/C][C]212.789779157407[/C][C]6.98975308436949[/C][/ROW]
[ROW][C]0.57[/C][C]214.155557158328[/C][C]6.7680395591898[/C][/ROW]
[ROW][C]0.58[/C][C]215.486330943918[/C][C]6.58284161350561[/C][/ROW]
[ROW][C]0.59[/C][C]216.788313469377[/C][C]6.43461819966676[/C][/ROW]
[ROW][C]0.6[/C][C]218.066845602427[/C][C]6.31666354517512[/C][/ROW]
[ROW][C]0.61[/C][C]219.325110486653[/C][C]6.21386927513808[/C][/ROW]
[ROW][C]0.62[/C][C]220.563115667899[/C][C]6.1058112518499[/C][/ROW]
[ROW][C]0.63[/C][C]221.777172510209[/C][C]5.97050767151529[/C][/ROW]
[ROW][C]0.64[/C][C]222.960020192346[/C][C]5.78849487028854[/C][/ROW]
[ROW][C]0.65[/C][C]224.101620912145[/C][C]5.546729559823[/C][/ROW]
[ROW][C]0.66[/C][C]225.190517552459[/C][C]5.24096258480858[/C][/ROW]
[ROW][C]0.67[/C][C]226.215525545633[/C][C]4.87657716834538[/C][/ROW]
[ROW][C]0.68[/C][C]227.167455995427[/C][C]4.46807791291201[/C][/ROW]
[ROW][C]0.69[/C][C]228.040556278860[/C][C]4.03622546928415[/C][/ROW]
[ROW][C]0.7[/C][C]228.833410915829[/C][C]3.60574407029965[/C][/ROW]
[ROW][C]0.71[/C][C]229.549156573282[/C][C]3.20062406819925[/C][/ROW]
[ROW][C]0.72[/C][C]230.195004634852[/C][C]2.84130143700884[/C][/ROW]
[ROW][C]0.73[/C][C]230.781200009161[/C][C]2.5416764595034[/C][/ROW]
[ROW][C]0.74[/C][C]231.319644035334[/C][C]2.30739896588178[/C][/ROW]
[ROW][C]0.75[/C][C]231.822449757164[/C][C]2.13570965405506[/C][/ROW]
[ROW][C]0.76[/C][C]232.300672454505[/C][C]2.01700191016229[/C][/ROW]
[ROW][C]0.77[/C][C]232.763379414992[/C][C]1.93763354068422[/C][/ROW]
[ROW][C]0.78[/C][C]233.217120345468[/C][C]1.88327439219494[/C][/ROW]
[ROW][C]0.79[/C][C]233.665772108042[/C][C]1.84078458598672[/C][/ROW]
[ROW][C]0.8[/C][C]234.110690332988[/C][C]1.79923062249177[/C][/ROW]
[ROW][C]0.81[/C][C]234.551113234377[/C][C]1.75047626926943[/C][/ROW]
[ROW][C]0.82[/C][C]234.984802231570[/C][C]1.68877249843917[/C][/ROW]
[ROW][C]0.83[/C][C]235.408915468791[/C][C]1.61200684148336[/C][/ROW]
[ROW][C]0.84[/C][C]235.821044680646[/C][C]1.52275578927790[/C][/ROW]
[ROW][C]0.85[/C][C]236.22020607615[/C][C]1.42794254549546[/C][/ROW]
[ROW][C]0.86[/C][C]236.607452491702[/C][C]1.33802895661743[/C][/ROW]
[ROW][C]0.87[/C][C]236.985828807918[/C][C]1.26289610235383[/C][/ROW]
[ROW][C]0.88[/C][C]237.359767857915[/C][C]1.20675820031859[/C][/ROW]
[ROW][C]0.89[/C][C]237.734701830789[/C][C]1.16625491859927[/C][/ROW]
[ROW][C]0.9[/C][C]238.118349007159[/C][C]1.13629471923604[/C][/ROW]
[ROW][C]0.91[/C][C]238.525223803147[/C][C]1.12480048953547[/C][/ROW]
[ROW][C]0.92[/C][C]238.984561426344[/C][C]1.17019440167113[/C][/ROW]
[ROW][C]0.93[/C][C]239.548251596951[/C][C]1.34532287032417[/C][/ROW]
[ROW][C]0.94[/C][C]240.290004683891[/C][C]1.71202984590375[/C][/ROW]
[ROW][C]0.95[/C][C]241.284338978769[/C][C]2.22814174031919[/C][/ROW]
[ROW][C]0.96[/C][C]242.563775436635[/C][C]2.68919625191754[/C][/ROW]
[ROW][C]0.97[/C][C]244.077484286485[/C][C]2.79503598470698[/C][/ROW]
[ROW][C]0.98[/C][C]245.68054734199[/C][C]2.43066831371385[/C][/ROW]
[ROW][C]0.99[/C][C]247.121389553556[/C][C]2.00403127227243[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78546&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78546&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
0.01107.1567007289832.85913438563348
0.02109.5584035125364.93510942348779
0.03112.7118161010436.06649231343425
0.04116.0667445188486.46246094089755
0.05119.2672080920716.3788348062389
0.06122.1470199860635.97804489466722
0.07124.6684420777265.50015697404241
0.08126.8782488489585.19560105332119
0.09128.8715015247965.19150736795125
0.1130.7539002660875.45618921538013
0.11132.6108453459995.86718705875314
0.12134.4919162564296.29440564250586
0.13136.4109078550946.64554732117137
0.14138.3555099337446.87366787173572
0.15140.2998399215486.9709809387852
0.16142.2151434470706.95293014180229
0.17144.0766901009946.84616006451959
0.18145.8669440203746.678854419107
0.19147.5761118127136.47748323557727
0.2149.2013293111296.26525872438303
0.21150.7454369524846.06278139057082
0.22152.2158770184555.8875841435021
0.23153.6239223291895.75648085626409
0.24154.9842475281065.68597818300369
0.25156.3147344131255.69435145241429
0.26157.6363204587145.80047536613826
0.27158.9726512765826.02241685282366
0.28160.3493044496496.3728612322187
0.29161.792430541496.8541594303336
0.3163.3267997982027.45552373425428
0.31164.9734176695538.15053351559193
0.32166.7470328633478.89973162187964
0.33168.6539639328339.65291624667417
0.34170.69068372202510.3558026000113
0.35172.84351499960610.9555829871109
0.36175.08961712131111.4083969294360
0.37177.39921456565211.6849649018051
0.38179.73878028300511.7745771818669
0.39182.07469218451911.6871187881969
0.4184.37677603355911.4496661089492
0.41186.62116092941811.1037295680677
0.42188.79200623733710.6978564281203
0.43190.88188370103710.2789636964785
0.44192.8908643580279.88563609522881
0.45194.8246047976459.54275018151142
0.46196.6918953379469.2586690476363
0.47198.5021893508399.0261716341489
0.48200.2635739769188.82907200307448
0.49201.9814931392438.6461015025295
0.5203.6583392314488.45817712876165
0.51205.2938401664548.25168593375439
0.52206.8860239787648.02122547374251
0.53208.4324653221187.76901731973235
0.54209.9315081875267.50378989119779
0.55211.3832034678047.23931868521415
0.56212.7897791574076.98975308436949
0.57214.1555571583286.7680395591898
0.58215.4863309439186.58284161350561
0.59216.7883134693776.43461819966676
0.6218.0668456024276.31666354517512
0.61219.3251104866536.21386927513808
0.62220.5631156678996.1058112518499
0.63221.7771725102095.97050767151529
0.64222.9600201923465.78849487028854
0.65224.1016209121455.546729559823
0.66225.1905175524595.24096258480858
0.67226.2155255456334.87657716834538
0.68227.1674559954274.46807791291201
0.69228.0405562788604.03622546928415
0.7228.8334109158293.60574407029965
0.71229.5491565732823.20062406819925
0.72230.1950046348522.84130143700884
0.73230.7812000091612.5416764595034
0.74231.3196440353342.30739896588178
0.75231.8224497571642.13570965405506
0.76232.3006724545052.01700191016229
0.77232.7633794149921.93763354068422
0.78233.2171203454681.88327439219494
0.79233.6657721080421.84078458598672
0.8234.1106903329881.79923062249177
0.81234.5511132343771.75047626926943
0.82234.9848022315701.68877249843917
0.83235.4089154687911.61200684148336
0.84235.8210446806461.52275578927790
0.85236.220206076151.42794254549546
0.86236.6074524917021.33802895661743
0.87236.9858288079181.26289610235383
0.88237.3597678579151.20675820031859
0.89237.7347018307891.16625491859927
0.9238.1183490071591.13629471923604
0.91238.5252238031471.12480048953547
0.92238.9845614263441.17019440167113
0.93239.5482515969511.34532287032417
0.94240.2900046838911.71202984590375
0.95241.2843389787692.22814174031919
0.96242.5637754366352.68919625191754
0.97244.0774842864852.79503598470698
0.98245.680547341992.43066831371385
0.99247.1213895535562.00403127227243


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')