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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 computationThu, 16 Feb 2012 10:58:46 -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/2012/Feb/16/t1329407935zslpv3dmwrk7e29.htm/, Retrieved Sun, 28 Apr 2024 17:30:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162695, Retrieved Sun, 28 Apr 2024 17:30:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2012-02-16 15:58:46] [48249b2bec42daa046414fd256b57193] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,72
7,67
7,84
7,79
7,83
7,94
8,02
8,06
8,12
8,13
7,97
8,01
8
7,9
7,99
8,02
8,08
8,02
8,07
8,11
8,19
8,16
8,08
8,22
8,15
8,19
8,31
8,3
8,34
8,31
8,38
8,34
8,44
8,64
8,6
8,61
8,54
8,69
8,73
8,91
9,01
9,08
8,94
9,03
9,02
8,96
9,03
8,94
8,95
8,95
8,99
8,93
8,98
8,95
9,02
8,92
9,1
9,06
8,97
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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162695&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162695&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162695&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.684952475753010.0520923353679935
0.027.709386031571460.0573035853751357
0.037.738073432304410.0614339375612054
0.047.767075501228450.062874968719043
0.057.794490691118430.062874431243293
0.067.819840212642920.0630833403540429
0.077.843306399594590.0639502839709488
0.087.865215149760890.0648278901334591
0.097.885780729247660.0648127004698363
0.17.905042397333290.0633634025267646
0.117.922912643449680.0604025173293021
0.127.939265901390060.0562709447569235
0.137.954017725021730.0514799721212303
0.147.967170611869970.0466003505694171
0.157.978824244757920.0421204535211294
0.167.989159842567060.0384098273888803
0.177.998411365663450.0356827426550741
0.188.00683413698390.03402957320423
0.198.01467753388580.033375081944375
0.28.022164891060250.0335685951235194
0.218.029481362299440.0343928911407604
0.228.036769130659360.0356395750505927
0.238.04412867437190.0371049333431529
0.248.051624482253810.0386439995843344
0.258.059293507959550.0401971200313741
0.268.067154711208480.0417224829098132
0.278.075218249059350.0432518505152677
0.288.083493227608620.0448162399329226
0.298.091993346510660.0464776693478477
0.38.1007401887560.0483155521626818
0.318.109764258184880.0503820413613346
0.328.119104110180810.0527178125098959
0.338.128804057118030.0553630414544593
0.348.138910986941680.0583052109553648
0.358.149470846113570.0615327942300211
0.368.160525331253940.0649981006484075
0.378.172109309571310.0686365076803374
0.388.184249428651080.0723793410847086
0.398.196964254863440.0761600886292317
0.48.210266078383240.0799207500949599
0.418.224164246847810.0836674249311538
0.428.23866957502480.0874124642412106
0.438.253799087554670.0912049880002779
0.448.269580161437530.0951760414692855
0.458.286053111095370.099412603100787
0.468.30327143704130.104046407894965
0.478.32129932767470.109147107642012
0.488.340206499265970.11475127345006
0.498.360060977400730.120791150327846
0.58.380920841978920.127171710897636
0.518.40282616901590.133700066199221
0.528.425792342487630.140168878896642
0.538.449805581367740.146357919757012
0.548.474821005632290.152057874527907
0.558.500762982336270.157087032856832
0.568.527527005879320.161311264246056
0.578.5549821150240.164620416394446
0.588.582972914521290.166931690790249
0.598.611320646510630.168148483319215
0.68.639823349802160.168185018829047
0.618.668255786605860.166909980920453
0.628.696370311589620.164195824884014
0.638.723900039674980.159928615621784
0.648.750565446655330.154008227060681
0.658.776084929280790.146427903650465
0.668.800188987640690.137267417983153
0.678.822636780357320.126722342514672
0.688.843233074053220.115102426859491
0.698.86184325456330.102799767826903
0.78.878404186760380.090249292507955
0.718.892929280649830.0779449211341155
0.728.905507009119550.0663006565774008
0.738.916293120235120.0557125202270699
0.748.925497672987290.0464581095469943
0.758.933368623692890.0387396435216841
0.768.940173911562250.0326369485287182
0.778.946183848113610.0281428827289658
0.788.951655204524150.0251578383209191
0.798.956817863678980.0234769541957179
0.88.96186441884510.0228222758930868
0.818.966942788781910.0228833210862368
0.828.972151853331710.0233371212848062
0.838.977540294927710.0239039037227638
0.848.983109181307980.0243390425356228
0.858.988819186869850.0244533849024278
0.868.994603502984620.0241245310707535
0.879.000387167397120.0233115068616428
0.889.00611248008470.022075747957303
0.899.011768160572220.0206098850951726
0.99.017416950028570.0192202048600578
0.919.023213019466460.0183186700344676
0.929.029398350991190.018303178824728
0.939.036268834584960.0193321451637417
0.949.044108374882850.0211110443207585
0.959.053100226438830.0229156338199515
0.969.063226660993620.0238496752104871
0.979.074145804993360.0233172293124271
0.989.085010783063450.0216181541780234
0.999.094290352301750.0200860678884331

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7.68495247575301 & 0.0520923353679935 \tabularnewline
0.02 & 7.70938603157146 & 0.0573035853751357 \tabularnewline
0.03 & 7.73807343230441 & 0.0614339375612054 \tabularnewline
0.04 & 7.76707550122845 & 0.062874968719043 \tabularnewline
0.05 & 7.79449069111843 & 0.062874431243293 \tabularnewline
0.06 & 7.81984021264292 & 0.0630833403540429 \tabularnewline
0.07 & 7.84330639959459 & 0.0639502839709488 \tabularnewline
0.08 & 7.86521514976089 & 0.0648278901334591 \tabularnewline
0.09 & 7.88578072924766 & 0.0648127004698363 \tabularnewline
0.1 & 7.90504239733329 & 0.0633634025267646 \tabularnewline
0.11 & 7.92291264344968 & 0.0604025173293021 \tabularnewline
0.12 & 7.93926590139006 & 0.0562709447569235 \tabularnewline
0.13 & 7.95401772502173 & 0.0514799721212303 \tabularnewline
0.14 & 7.96717061186997 & 0.0466003505694171 \tabularnewline
0.15 & 7.97882424475792 & 0.0421204535211294 \tabularnewline
0.16 & 7.98915984256706 & 0.0384098273888803 \tabularnewline
0.17 & 7.99841136566345 & 0.0356827426550741 \tabularnewline
0.18 & 8.0068341369839 & 0.03402957320423 \tabularnewline
0.19 & 8.0146775338858 & 0.033375081944375 \tabularnewline
0.2 & 8.02216489106025 & 0.0335685951235194 \tabularnewline
0.21 & 8.02948136229944 & 0.0343928911407604 \tabularnewline
0.22 & 8.03676913065936 & 0.0356395750505927 \tabularnewline
0.23 & 8.0441286743719 & 0.0371049333431529 \tabularnewline
0.24 & 8.05162448225381 & 0.0386439995843344 \tabularnewline
0.25 & 8.05929350795955 & 0.0401971200313741 \tabularnewline
0.26 & 8.06715471120848 & 0.0417224829098132 \tabularnewline
0.27 & 8.07521824905935 & 0.0432518505152677 \tabularnewline
0.28 & 8.08349322760862 & 0.0448162399329226 \tabularnewline
0.29 & 8.09199334651066 & 0.0464776693478477 \tabularnewline
0.3 & 8.100740188756 & 0.0483155521626818 \tabularnewline
0.31 & 8.10976425818488 & 0.0503820413613346 \tabularnewline
0.32 & 8.11910411018081 & 0.0527178125098959 \tabularnewline
0.33 & 8.12880405711803 & 0.0553630414544593 \tabularnewline
0.34 & 8.13891098694168 & 0.0583052109553648 \tabularnewline
0.35 & 8.14947084611357 & 0.0615327942300211 \tabularnewline
0.36 & 8.16052533125394 & 0.0649981006484075 \tabularnewline
0.37 & 8.17210930957131 & 0.0686365076803374 \tabularnewline
0.38 & 8.18424942865108 & 0.0723793410847086 \tabularnewline
0.39 & 8.19696425486344 & 0.0761600886292317 \tabularnewline
0.4 & 8.21026607838324 & 0.0799207500949599 \tabularnewline
0.41 & 8.22416424684781 & 0.0836674249311538 \tabularnewline
0.42 & 8.2386695750248 & 0.0874124642412106 \tabularnewline
0.43 & 8.25379908755467 & 0.0912049880002779 \tabularnewline
0.44 & 8.26958016143753 & 0.0951760414692855 \tabularnewline
0.45 & 8.28605311109537 & 0.099412603100787 \tabularnewline
0.46 & 8.3032714370413 & 0.104046407894965 \tabularnewline
0.47 & 8.3212993276747 & 0.109147107642012 \tabularnewline
0.48 & 8.34020649926597 & 0.11475127345006 \tabularnewline
0.49 & 8.36006097740073 & 0.120791150327846 \tabularnewline
0.5 & 8.38092084197892 & 0.127171710897636 \tabularnewline
0.51 & 8.4028261690159 & 0.133700066199221 \tabularnewline
0.52 & 8.42579234248763 & 0.140168878896642 \tabularnewline
0.53 & 8.44980558136774 & 0.146357919757012 \tabularnewline
0.54 & 8.47482100563229 & 0.152057874527907 \tabularnewline
0.55 & 8.50076298233627 & 0.157087032856832 \tabularnewline
0.56 & 8.52752700587932 & 0.161311264246056 \tabularnewline
0.57 & 8.554982115024 & 0.164620416394446 \tabularnewline
0.58 & 8.58297291452129 & 0.166931690790249 \tabularnewline
0.59 & 8.61132064651063 & 0.168148483319215 \tabularnewline
0.6 & 8.63982334980216 & 0.168185018829047 \tabularnewline
0.61 & 8.66825578660586 & 0.166909980920453 \tabularnewline
0.62 & 8.69637031158962 & 0.164195824884014 \tabularnewline
0.63 & 8.72390003967498 & 0.159928615621784 \tabularnewline
0.64 & 8.75056544665533 & 0.154008227060681 \tabularnewline
0.65 & 8.77608492928079 & 0.146427903650465 \tabularnewline
0.66 & 8.80018898764069 & 0.137267417983153 \tabularnewline
0.67 & 8.82263678035732 & 0.126722342514672 \tabularnewline
0.68 & 8.84323307405322 & 0.115102426859491 \tabularnewline
0.69 & 8.8618432545633 & 0.102799767826903 \tabularnewline
0.7 & 8.87840418676038 & 0.090249292507955 \tabularnewline
0.71 & 8.89292928064983 & 0.0779449211341155 \tabularnewline
0.72 & 8.90550700911955 & 0.0663006565774008 \tabularnewline
0.73 & 8.91629312023512 & 0.0557125202270699 \tabularnewline
0.74 & 8.92549767298729 & 0.0464581095469943 \tabularnewline
0.75 & 8.93336862369289 & 0.0387396435216841 \tabularnewline
0.76 & 8.94017391156225 & 0.0326369485287182 \tabularnewline
0.77 & 8.94618384811361 & 0.0281428827289658 \tabularnewline
0.78 & 8.95165520452415 & 0.0251578383209191 \tabularnewline
0.79 & 8.95681786367898 & 0.0234769541957179 \tabularnewline
0.8 & 8.9618644188451 & 0.0228222758930868 \tabularnewline
0.81 & 8.96694278878191 & 0.0228833210862368 \tabularnewline
0.82 & 8.97215185333171 & 0.0233371212848062 \tabularnewline
0.83 & 8.97754029492771 & 0.0239039037227638 \tabularnewline
0.84 & 8.98310918130798 & 0.0243390425356228 \tabularnewline
0.85 & 8.98881918686985 & 0.0244533849024278 \tabularnewline
0.86 & 8.99460350298462 & 0.0241245310707535 \tabularnewline
0.87 & 9.00038716739712 & 0.0233115068616428 \tabularnewline
0.88 & 9.0061124800847 & 0.022075747957303 \tabularnewline
0.89 & 9.01176816057222 & 0.0206098850951726 \tabularnewline
0.9 & 9.01741695002857 & 0.0192202048600578 \tabularnewline
0.91 & 9.02321301946646 & 0.0183186700344676 \tabularnewline
0.92 & 9.02939835099119 & 0.018303178824728 \tabularnewline
0.93 & 9.03626883458496 & 0.0193321451637417 \tabularnewline
0.94 & 9.04410837488285 & 0.0211110443207585 \tabularnewline
0.95 & 9.05310022643883 & 0.0229156338199515 \tabularnewline
0.96 & 9.06322666099362 & 0.0238496752104871 \tabularnewline
0.97 & 9.07414580499336 & 0.0233172293124271 \tabularnewline
0.98 & 9.08501078306345 & 0.0216181541780234 \tabularnewline
0.99 & 9.09429035230175 & 0.0200860678884331 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162695&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]7.68495247575301[/C][C]0.0520923353679935[/C][/ROW]
[ROW][C]0.02[/C][C]7.70938603157146[/C][C]0.0573035853751357[/C][/ROW]
[ROW][C]0.03[/C][C]7.73807343230441[/C][C]0.0614339375612054[/C][/ROW]
[ROW][C]0.04[/C][C]7.76707550122845[/C][C]0.062874968719043[/C][/ROW]
[ROW][C]0.05[/C][C]7.79449069111843[/C][C]0.062874431243293[/C][/ROW]
[ROW][C]0.06[/C][C]7.81984021264292[/C][C]0.0630833403540429[/C][/ROW]
[ROW][C]0.07[/C][C]7.84330639959459[/C][C]0.0639502839709488[/C][/ROW]
[ROW][C]0.08[/C][C]7.86521514976089[/C][C]0.0648278901334591[/C][/ROW]
[ROW][C]0.09[/C][C]7.88578072924766[/C][C]0.0648127004698363[/C][/ROW]
[ROW][C]0.1[/C][C]7.90504239733329[/C][C]0.0633634025267646[/C][/ROW]
[ROW][C]0.11[/C][C]7.92291264344968[/C][C]0.0604025173293021[/C][/ROW]
[ROW][C]0.12[/C][C]7.93926590139006[/C][C]0.0562709447569235[/C][/ROW]
[ROW][C]0.13[/C][C]7.95401772502173[/C][C]0.0514799721212303[/C][/ROW]
[ROW][C]0.14[/C][C]7.96717061186997[/C][C]0.0466003505694171[/C][/ROW]
[ROW][C]0.15[/C][C]7.97882424475792[/C][C]0.0421204535211294[/C][/ROW]
[ROW][C]0.16[/C][C]7.98915984256706[/C][C]0.0384098273888803[/C][/ROW]
[ROW][C]0.17[/C][C]7.99841136566345[/C][C]0.0356827426550741[/C][/ROW]
[ROW][C]0.18[/C][C]8.0068341369839[/C][C]0.03402957320423[/C][/ROW]
[ROW][C]0.19[/C][C]8.0146775338858[/C][C]0.033375081944375[/C][/ROW]
[ROW][C]0.2[/C][C]8.02216489106025[/C][C]0.0335685951235194[/C][/ROW]
[ROW][C]0.21[/C][C]8.02948136229944[/C][C]0.0343928911407604[/C][/ROW]
[ROW][C]0.22[/C][C]8.03676913065936[/C][C]0.0356395750505927[/C][/ROW]
[ROW][C]0.23[/C][C]8.0441286743719[/C][C]0.0371049333431529[/C][/ROW]
[ROW][C]0.24[/C][C]8.05162448225381[/C][C]0.0386439995843344[/C][/ROW]
[ROW][C]0.25[/C][C]8.05929350795955[/C][C]0.0401971200313741[/C][/ROW]
[ROW][C]0.26[/C][C]8.06715471120848[/C][C]0.0417224829098132[/C][/ROW]
[ROW][C]0.27[/C][C]8.07521824905935[/C][C]0.0432518505152677[/C][/ROW]
[ROW][C]0.28[/C][C]8.08349322760862[/C][C]0.0448162399329226[/C][/ROW]
[ROW][C]0.29[/C][C]8.09199334651066[/C][C]0.0464776693478477[/C][/ROW]
[ROW][C]0.3[/C][C]8.100740188756[/C][C]0.0483155521626818[/C][/ROW]
[ROW][C]0.31[/C][C]8.10976425818488[/C][C]0.0503820413613346[/C][/ROW]
[ROW][C]0.32[/C][C]8.11910411018081[/C][C]0.0527178125098959[/C][/ROW]
[ROW][C]0.33[/C][C]8.12880405711803[/C][C]0.0553630414544593[/C][/ROW]
[ROW][C]0.34[/C][C]8.13891098694168[/C][C]0.0583052109553648[/C][/ROW]
[ROW][C]0.35[/C][C]8.14947084611357[/C][C]0.0615327942300211[/C][/ROW]
[ROW][C]0.36[/C][C]8.16052533125394[/C][C]0.0649981006484075[/C][/ROW]
[ROW][C]0.37[/C][C]8.17210930957131[/C][C]0.0686365076803374[/C][/ROW]
[ROW][C]0.38[/C][C]8.18424942865108[/C][C]0.0723793410847086[/C][/ROW]
[ROW][C]0.39[/C][C]8.19696425486344[/C][C]0.0761600886292317[/C][/ROW]
[ROW][C]0.4[/C][C]8.21026607838324[/C][C]0.0799207500949599[/C][/ROW]
[ROW][C]0.41[/C][C]8.22416424684781[/C][C]0.0836674249311538[/C][/ROW]
[ROW][C]0.42[/C][C]8.2386695750248[/C][C]0.0874124642412106[/C][/ROW]
[ROW][C]0.43[/C][C]8.25379908755467[/C][C]0.0912049880002779[/C][/ROW]
[ROW][C]0.44[/C][C]8.26958016143753[/C][C]0.0951760414692855[/C][/ROW]
[ROW][C]0.45[/C][C]8.28605311109537[/C][C]0.099412603100787[/C][/ROW]
[ROW][C]0.46[/C][C]8.3032714370413[/C][C]0.104046407894965[/C][/ROW]
[ROW][C]0.47[/C][C]8.3212993276747[/C][C]0.109147107642012[/C][/ROW]
[ROW][C]0.48[/C][C]8.34020649926597[/C][C]0.11475127345006[/C][/ROW]
[ROW][C]0.49[/C][C]8.36006097740073[/C][C]0.120791150327846[/C][/ROW]
[ROW][C]0.5[/C][C]8.38092084197892[/C][C]0.127171710897636[/C][/ROW]
[ROW][C]0.51[/C][C]8.4028261690159[/C][C]0.133700066199221[/C][/ROW]
[ROW][C]0.52[/C][C]8.42579234248763[/C][C]0.140168878896642[/C][/ROW]
[ROW][C]0.53[/C][C]8.44980558136774[/C][C]0.146357919757012[/C][/ROW]
[ROW][C]0.54[/C][C]8.47482100563229[/C][C]0.152057874527907[/C][/ROW]
[ROW][C]0.55[/C][C]8.50076298233627[/C][C]0.157087032856832[/C][/ROW]
[ROW][C]0.56[/C][C]8.52752700587932[/C][C]0.161311264246056[/C][/ROW]
[ROW][C]0.57[/C][C]8.554982115024[/C][C]0.164620416394446[/C][/ROW]
[ROW][C]0.58[/C][C]8.58297291452129[/C][C]0.166931690790249[/C][/ROW]
[ROW][C]0.59[/C][C]8.61132064651063[/C][C]0.168148483319215[/C][/ROW]
[ROW][C]0.6[/C][C]8.63982334980216[/C][C]0.168185018829047[/C][/ROW]
[ROW][C]0.61[/C][C]8.66825578660586[/C][C]0.166909980920453[/C][/ROW]
[ROW][C]0.62[/C][C]8.69637031158962[/C][C]0.164195824884014[/C][/ROW]
[ROW][C]0.63[/C][C]8.72390003967498[/C][C]0.159928615621784[/C][/ROW]
[ROW][C]0.64[/C][C]8.75056544665533[/C][C]0.154008227060681[/C][/ROW]
[ROW][C]0.65[/C][C]8.77608492928079[/C][C]0.146427903650465[/C][/ROW]
[ROW][C]0.66[/C][C]8.80018898764069[/C][C]0.137267417983153[/C][/ROW]
[ROW][C]0.67[/C][C]8.82263678035732[/C][C]0.126722342514672[/C][/ROW]
[ROW][C]0.68[/C][C]8.84323307405322[/C][C]0.115102426859491[/C][/ROW]
[ROW][C]0.69[/C][C]8.8618432545633[/C][C]0.102799767826903[/C][/ROW]
[ROW][C]0.7[/C][C]8.87840418676038[/C][C]0.090249292507955[/C][/ROW]
[ROW][C]0.71[/C][C]8.89292928064983[/C][C]0.0779449211341155[/C][/ROW]
[ROW][C]0.72[/C][C]8.90550700911955[/C][C]0.0663006565774008[/C][/ROW]
[ROW][C]0.73[/C][C]8.91629312023512[/C][C]0.0557125202270699[/C][/ROW]
[ROW][C]0.74[/C][C]8.92549767298729[/C][C]0.0464581095469943[/C][/ROW]
[ROW][C]0.75[/C][C]8.93336862369289[/C][C]0.0387396435216841[/C][/ROW]
[ROW][C]0.76[/C][C]8.94017391156225[/C][C]0.0326369485287182[/C][/ROW]
[ROW][C]0.77[/C][C]8.94618384811361[/C][C]0.0281428827289658[/C][/ROW]
[ROW][C]0.78[/C][C]8.95165520452415[/C][C]0.0251578383209191[/C][/ROW]
[ROW][C]0.79[/C][C]8.95681786367898[/C][C]0.0234769541957179[/C][/ROW]
[ROW][C]0.8[/C][C]8.9618644188451[/C][C]0.0228222758930868[/C][/ROW]
[ROW][C]0.81[/C][C]8.96694278878191[/C][C]0.0228833210862368[/C][/ROW]
[ROW][C]0.82[/C][C]8.97215185333171[/C][C]0.0233371212848062[/C][/ROW]
[ROW][C]0.83[/C][C]8.97754029492771[/C][C]0.0239039037227638[/C][/ROW]
[ROW][C]0.84[/C][C]8.98310918130798[/C][C]0.0243390425356228[/C][/ROW]
[ROW][C]0.85[/C][C]8.98881918686985[/C][C]0.0244533849024278[/C][/ROW]
[ROW][C]0.86[/C][C]8.99460350298462[/C][C]0.0241245310707535[/C][/ROW]
[ROW][C]0.87[/C][C]9.00038716739712[/C][C]0.0233115068616428[/C][/ROW]
[ROW][C]0.88[/C][C]9.0061124800847[/C][C]0.022075747957303[/C][/ROW]
[ROW][C]0.89[/C][C]9.01176816057222[/C][C]0.0206098850951726[/C][/ROW]
[ROW][C]0.9[/C][C]9.01741695002857[/C][C]0.0192202048600578[/C][/ROW]
[ROW][C]0.91[/C][C]9.02321301946646[/C][C]0.0183186700344676[/C][/ROW]
[ROW][C]0.92[/C][C]9.02939835099119[/C][C]0.018303178824728[/C][/ROW]
[ROW][C]0.93[/C][C]9.03626883458496[/C][C]0.0193321451637417[/C][/ROW]
[ROW][C]0.94[/C][C]9.04410837488285[/C][C]0.0211110443207585[/C][/ROW]
[ROW][C]0.95[/C][C]9.05310022643883[/C][C]0.0229156338199515[/C][/ROW]
[ROW][C]0.96[/C][C]9.06322666099362[/C][C]0.0238496752104871[/C][/ROW]
[ROW][C]0.97[/C][C]9.07414580499336[/C][C]0.0233172293124271[/C][/ROW]
[ROW][C]0.98[/C][C]9.08501078306345[/C][C]0.0216181541780234[/C][/ROW]
[ROW][C]0.99[/C][C]9.09429035230175[/C][C]0.0200860678884331[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162695&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162695&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
0.017.684952475753010.0520923353679935
0.027.709386031571460.0573035853751357
0.037.738073432304410.0614339375612054
0.047.767075501228450.062874968719043
0.057.794490691118430.062874431243293
0.067.819840212642920.0630833403540429
0.077.843306399594590.0639502839709488
0.087.865215149760890.0648278901334591
0.097.885780729247660.0648127004698363
0.17.905042397333290.0633634025267646
0.117.922912643449680.0604025173293021
0.127.939265901390060.0562709447569235
0.137.954017725021730.0514799721212303
0.147.967170611869970.0466003505694171
0.157.978824244757920.0421204535211294
0.167.989159842567060.0384098273888803
0.177.998411365663450.0356827426550741
0.188.00683413698390.03402957320423
0.198.01467753388580.033375081944375
0.28.022164891060250.0335685951235194
0.218.029481362299440.0343928911407604
0.228.036769130659360.0356395750505927
0.238.04412867437190.0371049333431529
0.248.051624482253810.0386439995843344
0.258.059293507959550.0401971200313741
0.268.067154711208480.0417224829098132
0.278.075218249059350.0432518505152677
0.288.083493227608620.0448162399329226
0.298.091993346510660.0464776693478477
0.38.1007401887560.0483155521626818
0.318.109764258184880.0503820413613346
0.328.119104110180810.0527178125098959
0.338.128804057118030.0553630414544593
0.348.138910986941680.0583052109553648
0.358.149470846113570.0615327942300211
0.368.160525331253940.0649981006484075
0.378.172109309571310.0686365076803374
0.388.184249428651080.0723793410847086
0.398.196964254863440.0761600886292317
0.48.210266078383240.0799207500949599
0.418.224164246847810.0836674249311538
0.428.23866957502480.0874124642412106
0.438.253799087554670.0912049880002779
0.448.269580161437530.0951760414692855
0.458.286053111095370.099412603100787
0.468.30327143704130.104046407894965
0.478.32129932767470.109147107642012
0.488.340206499265970.11475127345006
0.498.360060977400730.120791150327846
0.58.380920841978920.127171710897636
0.518.40282616901590.133700066199221
0.528.425792342487630.140168878896642
0.538.449805581367740.146357919757012
0.548.474821005632290.152057874527907
0.558.500762982336270.157087032856832
0.568.527527005879320.161311264246056
0.578.5549821150240.164620416394446
0.588.582972914521290.166931690790249
0.598.611320646510630.168148483319215
0.68.639823349802160.168185018829047
0.618.668255786605860.166909980920453
0.628.696370311589620.164195824884014
0.638.723900039674980.159928615621784
0.648.750565446655330.154008227060681
0.658.776084929280790.146427903650465
0.668.800188987640690.137267417983153
0.678.822636780357320.126722342514672
0.688.843233074053220.115102426859491
0.698.86184325456330.102799767826903
0.78.878404186760380.090249292507955
0.718.892929280649830.0779449211341155
0.728.905507009119550.0663006565774008
0.738.916293120235120.0557125202270699
0.748.925497672987290.0464581095469943
0.758.933368623692890.0387396435216841
0.768.940173911562250.0326369485287182
0.778.946183848113610.0281428827289658
0.788.951655204524150.0251578383209191
0.798.956817863678980.0234769541957179
0.88.96186441884510.0228222758930868
0.818.966942788781910.0228833210862368
0.828.972151853331710.0233371212848062
0.838.977540294927710.0239039037227638
0.848.983109181307980.0243390425356228
0.858.988819186869850.0244533849024278
0.868.994603502984620.0241245310707535
0.879.000387167397120.0233115068616428
0.889.00611248008470.022075747957303
0.899.011768160572220.0206098850951726
0.99.017416950028570.0192202048600578
0.919.023213019466460.0183186700344676
0.929.029398350991190.018303178824728
0.939.036268834584960.0193321451637417
0.949.044108374882850.0211110443207585
0.959.053100226438830.0229156338199515
0.969.063226660993620.0238496752104871
0.979.074145804993360.0233172293124271
0.989.085010783063450.0216181541780234
0.999.094290352301750.0200860678884331


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')