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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, 08 Oct 2015 17:52:14 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/08/t1444323180z42f9wl3h6mm3pr.htm/, Retrieved Wed, 15 May 2024 00:14:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281561, Retrieved Wed, 15 May 2024 00:14:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

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] [] [2015-10-08 16:52:14] [5460c453892b15ffecb85c645e1cdda5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94.3
94.6
94.9
95.6
95.4
97.4
98.4
100.5
106.6
106.7
106.8
109
109.3
110.5
113.4
113
113.6
121.2
120.5
120.9
125.8
125.4
125.7
127.7
128.1
130
130.5
130.1
129.6
128.8
128.4
128.3
127.6
127.3
127.7
126.9
125.1
119
118.7
118.9
116.9
117
117
115.5
115.6
117.5
117.6
117.8
119.3
120
120.2
109.4
109
108.8
96.3
96.9
97
111.4
111.8
111.7

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281561&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281561&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281561&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0194.38903359539630.309604177708104
0.0294.5402576113870.361518853634394
0.0394.73131928012240.445437727467999
0.0494.94714476721060.542456941226767
0.0595.18184861890210.645144123391871
0.0695.43524133270120.757475604783513
0.0795.71045372586480.889845783403732
0.0896.01335705018571.05732871567873
0.0996.35257917306161.27705690957852
0.196.73913244256521.56275356758028
0.1197.18522775416461.91830334473962
0.1297.70228850978492.33303671994552
0.1398.29851502403482.78191889372571
0.1498.9765739913033.2287731549501
0.1599.73203033095423.63306439371266
0.16100.5529744479653.95649026628724
0.17101.4209863541284.1698774186773
0.18102.313234273924.25764211416792
0.19103.2052434471934.21941375458278
0.2104.0737600383724.06916912822958
0.21104.8991839008113.83119984446755
0.22105.6672106153633.53578696422271
0.23106.3695406203873.21436308397913
0.24107.0037158271422.89573007039134
0.25107.5722869315132.60290050578151
0.26108.0815805629442.35223598154899
0.27108.5403316690692.15308174936836
0.28108.9583949919272.00795168673195
0.29109.345675923481.91406438481688
0.3109.7113470733331.86448443052811
0.31110.0633562468181.85068584149935
0.32110.4081899552251.8633073170099
0.33110.7508339825311.89419105343583
0.34111.0948656950821.93630087572286
0.35111.4426174463261.98447186000609
0.36111.7953624634982.03387765914088
0.37112.153490384412.08112945101295
0.38112.5166560442472.12299238556962
0.39112.8838996063742.15659000458225
0.4113.2537467070592.17902769713177
0.41113.624302762712.18800983539401
0.42113.993355759482.18154375489353
0.43114.3584974908862.15840621330448
0.44114.7172659258232.11854684440177
0.45115.0673032337452.06266542170912
0.46115.4065170356611.99301034693808
0.47115.7332283391041.9125816459655
0.48116.0462892634961.82519840315131
0.49116.3451570982051.73525527734637
0.5116.6299176567911.64695106628441
0.51116.9012588845931.56431566536025
0.52117.1604035480821.49078735100128
0.53117.4090159662621.42874121028058
0.54117.6491009108671.37984726472576
0.55117.8829123770011.34506663930636
0.56118.1128859584991.3245284067141
0.57118.341601729141.31883480340393
0.58118.5717759961521.32799870651543
0.59118.8062715252331.35310005655645
0.6119.0481084216471.39500026774311
0.61119.3004533104881.45500537530274
0.62119.5665640644021.53407020505726
0.63119.8496718955791.63217353730007
0.64120.1527922747911.7477224790959
0.65120.4784700267461.87728831375452
0.66120.8284801291592.01536634107629
0.67121.2035212090182.15427248828939
0.68121.6029498215382.28493609327833
0.69122.0246067666432.39764392428623
0.7122.4647795452172.48276581653652
0.71122.918327352632.53250050771156
0.72123.3789693015392.54113681143157
0.73123.8397080345012.5063337905291
0.74124.2933362325852.42910219508571
0.75124.7329591254172.3137423900175
0.76125.1524659367192.1670732278505
0.77125.5468973046071.99757567000047
0.78125.91267993461.81437006523234
0.79126.2477269677851.62605002334974
0.8126.5514252022121.44029495168067
0.81126.8245430929061.26349751346152
0.82127.0690951139071.10089404589035
0.83127.288191191810.956657469697488
0.84127.4858887408560.83407900838647
0.85127.6670520082560.735820989516502
0.86127.8372079851210.663777936087959
0.87128.0023666079060.618932801500949
0.88128.1687449038230.600892892356157
0.89128.3423106495220.607212394244023
0.9128.5280681999720.632444703419785
0.91128.7290872030070.667114805476742
0.92128.9454550983090.697367405375122
0.93129.1735958549930.707017523708137
0.94129.4066046829590.681604525395198
0.95129.636094394330.614866810988951
0.96129.8551104674590.515582151669175
0.97130.0598422625850.412843996313902
0.98130.2464463241330.352488398324505
0.99130.40209217810.358889728858979

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 94.3890335953963 & 0.309604177708104 \tabularnewline
0.02 & 94.540257611387 & 0.361518853634394 \tabularnewline
0.03 & 94.7313192801224 & 0.445437727467999 \tabularnewline
0.04 & 94.9471447672106 & 0.542456941226767 \tabularnewline
0.05 & 95.1818486189021 & 0.645144123391871 \tabularnewline
0.06 & 95.4352413327012 & 0.757475604783513 \tabularnewline
0.07 & 95.7104537258648 & 0.889845783403732 \tabularnewline
0.08 & 96.0133570501857 & 1.05732871567873 \tabularnewline
0.09 & 96.3525791730616 & 1.27705690957852 \tabularnewline
0.1 & 96.7391324425652 & 1.56275356758028 \tabularnewline
0.11 & 97.1852277541646 & 1.91830334473962 \tabularnewline
0.12 & 97.7022885097849 & 2.33303671994552 \tabularnewline
0.13 & 98.2985150240348 & 2.78191889372571 \tabularnewline
0.14 & 98.976573991303 & 3.2287731549501 \tabularnewline
0.15 & 99.7320303309542 & 3.63306439371266 \tabularnewline
0.16 & 100.552974447965 & 3.95649026628724 \tabularnewline
0.17 & 101.420986354128 & 4.1698774186773 \tabularnewline
0.18 & 102.31323427392 & 4.25764211416792 \tabularnewline
0.19 & 103.205243447193 & 4.21941375458278 \tabularnewline
0.2 & 104.073760038372 & 4.06916912822958 \tabularnewline
0.21 & 104.899183900811 & 3.83119984446755 \tabularnewline
0.22 & 105.667210615363 & 3.53578696422271 \tabularnewline
0.23 & 106.369540620387 & 3.21436308397913 \tabularnewline
0.24 & 107.003715827142 & 2.89573007039134 \tabularnewline
0.25 & 107.572286931513 & 2.60290050578151 \tabularnewline
0.26 & 108.081580562944 & 2.35223598154899 \tabularnewline
0.27 & 108.540331669069 & 2.15308174936836 \tabularnewline
0.28 & 108.958394991927 & 2.00795168673195 \tabularnewline
0.29 & 109.34567592348 & 1.91406438481688 \tabularnewline
0.3 & 109.711347073333 & 1.86448443052811 \tabularnewline
0.31 & 110.063356246818 & 1.85068584149935 \tabularnewline
0.32 & 110.408189955225 & 1.8633073170099 \tabularnewline
0.33 & 110.750833982531 & 1.89419105343583 \tabularnewline
0.34 & 111.094865695082 & 1.93630087572286 \tabularnewline
0.35 & 111.442617446326 & 1.98447186000609 \tabularnewline
0.36 & 111.795362463498 & 2.03387765914088 \tabularnewline
0.37 & 112.15349038441 & 2.08112945101295 \tabularnewline
0.38 & 112.516656044247 & 2.12299238556962 \tabularnewline
0.39 & 112.883899606374 & 2.15659000458225 \tabularnewline
0.4 & 113.253746707059 & 2.17902769713177 \tabularnewline
0.41 & 113.62430276271 & 2.18800983539401 \tabularnewline
0.42 & 113.99335575948 & 2.18154375489353 \tabularnewline
0.43 & 114.358497490886 & 2.15840621330448 \tabularnewline
0.44 & 114.717265925823 & 2.11854684440177 \tabularnewline
0.45 & 115.067303233745 & 2.06266542170912 \tabularnewline
0.46 & 115.406517035661 & 1.99301034693808 \tabularnewline
0.47 & 115.733228339104 & 1.9125816459655 \tabularnewline
0.48 & 116.046289263496 & 1.82519840315131 \tabularnewline
0.49 & 116.345157098205 & 1.73525527734637 \tabularnewline
0.5 & 116.629917656791 & 1.64695106628441 \tabularnewline
0.51 & 116.901258884593 & 1.56431566536025 \tabularnewline
0.52 & 117.160403548082 & 1.49078735100128 \tabularnewline
0.53 & 117.409015966262 & 1.42874121028058 \tabularnewline
0.54 & 117.649100910867 & 1.37984726472576 \tabularnewline
0.55 & 117.882912377001 & 1.34506663930636 \tabularnewline
0.56 & 118.112885958499 & 1.3245284067141 \tabularnewline
0.57 & 118.34160172914 & 1.31883480340393 \tabularnewline
0.58 & 118.571775996152 & 1.32799870651543 \tabularnewline
0.59 & 118.806271525233 & 1.35310005655645 \tabularnewline
0.6 & 119.048108421647 & 1.39500026774311 \tabularnewline
0.61 & 119.300453310488 & 1.45500537530274 \tabularnewline
0.62 & 119.566564064402 & 1.53407020505726 \tabularnewline
0.63 & 119.849671895579 & 1.63217353730007 \tabularnewline
0.64 & 120.152792274791 & 1.7477224790959 \tabularnewline
0.65 & 120.478470026746 & 1.87728831375452 \tabularnewline
0.66 & 120.828480129159 & 2.01536634107629 \tabularnewline
0.67 & 121.203521209018 & 2.15427248828939 \tabularnewline
0.68 & 121.602949821538 & 2.28493609327833 \tabularnewline
0.69 & 122.024606766643 & 2.39764392428623 \tabularnewline
0.7 & 122.464779545217 & 2.48276581653652 \tabularnewline
0.71 & 122.91832735263 & 2.53250050771156 \tabularnewline
0.72 & 123.378969301539 & 2.54113681143157 \tabularnewline
0.73 & 123.839708034501 & 2.5063337905291 \tabularnewline
0.74 & 124.293336232585 & 2.42910219508571 \tabularnewline
0.75 & 124.732959125417 & 2.3137423900175 \tabularnewline
0.76 & 125.152465936719 & 2.1670732278505 \tabularnewline
0.77 & 125.546897304607 & 1.99757567000047 \tabularnewline
0.78 & 125.9126799346 & 1.81437006523234 \tabularnewline
0.79 & 126.247726967785 & 1.62605002334974 \tabularnewline
0.8 & 126.551425202212 & 1.44029495168067 \tabularnewline
0.81 & 126.824543092906 & 1.26349751346152 \tabularnewline
0.82 & 127.069095113907 & 1.10089404589035 \tabularnewline
0.83 & 127.28819119181 & 0.956657469697488 \tabularnewline
0.84 & 127.485888740856 & 0.83407900838647 \tabularnewline
0.85 & 127.667052008256 & 0.735820989516502 \tabularnewline
0.86 & 127.837207985121 & 0.663777936087959 \tabularnewline
0.87 & 128.002366607906 & 0.618932801500949 \tabularnewline
0.88 & 128.168744903823 & 0.600892892356157 \tabularnewline
0.89 & 128.342310649522 & 0.607212394244023 \tabularnewline
0.9 & 128.528068199972 & 0.632444703419785 \tabularnewline
0.91 & 128.729087203007 & 0.667114805476742 \tabularnewline
0.92 & 128.945455098309 & 0.697367405375122 \tabularnewline
0.93 & 129.173595854993 & 0.707017523708137 \tabularnewline
0.94 & 129.406604682959 & 0.681604525395198 \tabularnewline
0.95 & 129.63609439433 & 0.614866810988951 \tabularnewline
0.96 & 129.855110467459 & 0.515582151669175 \tabularnewline
0.97 & 130.059842262585 & 0.412843996313902 \tabularnewline
0.98 & 130.246446324133 & 0.352488398324505 \tabularnewline
0.99 & 130.4020921781 & 0.358889728858979 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281561&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]94.3890335953963[/C][C]0.309604177708104[/C][/ROW]
[ROW][C]0.02[/C][C]94.540257611387[/C][C]0.361518853634394[/C][/ROW]
[ROW][C]0.03[/C][C]94.7313192801224[/C][C]0.445437727467999[/C][/ROW]
[ROW][C]0.04[/C][C]94.9471447672106[/C][C]0.542456941226767[/C][/ROW]
[ROW][C]0.05[/C][C]95.1818486189021[/C][C]0.645144123391871[/C][/ROW]
[ROW][C]0.06[/C][C]95.4352413327012[/C][C]0.757475604783513[/C][/ROW]
[ROW][C]0.07[/C][C]95.7104537258648[/C][C]0.889845783403732[/C][/ROW]
[ROW][C]0.08[/C][C]96.0133570501857[/C][C]1.05732871567873[/C][/ROW]
[ROW][C]0.09[/C][C]96.3525791730616[/C][C]1.27705690957852[/C][/ROW]
[ROW][C]0.1[/C][C]96.7391324425652[/C][C]1.56275356758028[/C][/ROW]
[ROW][C]0.11[/C][C]97.1852277541646[/C][C]1.91830334473962[/C][/ROW]
[ROW][C]0.12[/C][C]97.7022885097849[/C][C]2.33303671994552[/C][/ROW]
[ROW][C]0.13[/C][C]98.2985150240348[/C][C]2.78191889372571[/C][/ROW]
[ROW][C]0.14[/C][C]98.976573991303[/C][C]3.2287731549501[/C][/ROW]
[ROW][C]0.15[/C][C]99.7320303309542[/C][C]3.63306439371266[/C][/ROW]
[ROW][C]0.16[/C][C]100.552974447965[/C][C]3.95649026628724[/C][/ROW]
[ROW][C]0.17[/C][C]101.420986354128[/C][C]4.1698774186773[/C][/ROW]
[ROW][C]0.18[/C][C]102.31323427392[/C][C]4.25764211416792[/C][/ROW]
[ROW][C]0.19[/C][C]103.205243447193[/C][C]4.21941375458278[/C][/ROW]
[ROW][C]0.2[/C][C]104.073760038372[/C][C]4.06916912822958[/C][/ROW]
[ROW][C]0.21[/C][C]104.899183900811[/C][C]3.83119984446755[/C][/ROW]
[ROW][C]0.22[/C][C]105.667210615363[/C][C]3.53578696422271[/C][/ROW]
[ROW][C]0.23[/C][C]106.369540620387[/C][C]3.21436308397913[/C][/ROW]
[ROW][C]0.24[/C][C]107.003715827142[/C][C]2.89573007039134[/C][/ROW]
[ROW][C]0.25[/C][C]107.572286931513[/C][C]2.60290050578151[/C][/ROW]
[ROW][C]0.26[/C][C]108.081580562944[/C][C]2.35223598154899[/C][/ROW]
[ROW][C]0.27[/C][C]108.540331669069[/C][C]2.15308174936836[/C][/ROW]
[ROW][C]0.28[/C][C]108.958394991927[/C][C]2.00795168673195[/C][/ROW]
[ROW][C]0.29[/C][C]109.34567592348[/C][C]1.91406438481688[/C][/ROW]
[ROW][C]0.3[/C][C]109.711347073333[/C][C]1.86448443052811[/C][/ROW]
[ROW][C]0.31[/C][C]110.063356246818[/C][C]1.85068584149935[/C][/ROW]
[ROW][C]0.32[/C][C]110.408189955225[/C][C]1.8633073170099[/C][/ROW]
[ROW][C]0.33[/C][C]110.750833982531[/C][C]1.89419105343583[/C][/ROW]
[ROW][C]0.34[/C][C]111.094865695082[/C][C]1.93630087572286[/C][/ROW]
[ROW][C]0.35[/C][C]111.442617446326[/C][C]1.98447186000609[/C][/ROW]
[ROW][C]0.36[/C][C]111.795362463498[/C][C]2.03387765914088[/C][/ROW]
[ROW][C]0.37[/C][C]112.15349038441[/C][C]2.08112945101295[/C][/ROW]
[ROW][C]0.38[/C][C]112.516656044247[/C][C]2.12299238556962[/C][/ROW]
[ROW][C]0.39[/C][C]112.883899606374[/C][C]2.15659000458225[/C][/ROW]
[ROW][C]0.4[/C][C]113.253746707059[/C][C]2.17902769713177[/C][/ROW]
[ROW][C]0.41[/C][C]113.62430276271[/C][C]2.18800983539401[/C][/ROW]
[ROW][C]0.42[/C][C]113.99335575948[/C][C]2.18154375489353[/C][/ROW]
[ROW][C]0.43[/C][C]114.358497490886[/C][C]2.15840621330448[/C][/ROW]
[ROW][C]0.44[/C][C]114.717265925823[/C][C]2.11854684440177[/C][/ROW]
[ROW][C]0.45[/C][C]115.067303233745[/C][C]2.06266542170912[/C][/ROW]
[ROW][C]0.46[/C][C]115.406517035661[/C][C]1.99301034693808[/C][/ROW]
[ROW][C]0.47[/C][C]115.733228339104[/C][C]1.9125816459655[/C][/ROW]
[ROW][C]0.48[/C][C]116.046289263496[/C][C]1.82519840315131[/C][/ROW]
[ROW][C]0.49[/C][C]116.345157098205[/C][C]1.73525527734637[/C][/ROW]
[ROW][C]0.5[/C][C]116.629917656791[/C][C]1.64695106628441[/C][/ROW]
[ROW][C]0.51[/C][C]116.901258884593[/C][C]1.56431566536025[/C][/ROW]
[ROW][C]0.52[/C][C]117.160403548082[/C][C]1.49078735100128[/C][/ROW]
[ROW][C]0.53[/C][C]117.409015966262[/C][C]1.42874121028058[/C][/ROW]
[ROW][C]0.54[/C][C]117.649100910867[/C][C]1.37984726472576[/C][/ROW]
[ROW][C]0.55[/C][C]117.882912377001[/C][C]1.34506663930636[/C][/ROW]
[ROW][C]0.56[/C][C]118.112885958499[/C][C]1.3245284067141[/C][/ROW]
[ROW][C]0.57[/C][C]118.34160172914[/C][C]1.31883480340393[/C][/ROW]
[ROW][C]0.58[/C][C]118.571775996152[/C][C]1.32799870651543[/C][/ROW]
[ROW][C]0.59[/C][C]118.806271525233[/C][C]1.35310005655645[/C][/ROW]
[ROW][C]0.6[/C][C]119.048108421647[/C][C]1.39500026774311[/C][/ROW]
[ROW][C]0.61[/C][C]119.300453310488[/C][C]1.45500537530274[/C][/ROW]
[ROW][C]0.62[/C][C]119.566564064402[/C][C]1.53407020505726[/C][/ROW]
[ROW][C]0.63[/C][C]119.849671895579[/C][C]1.63217353730007[/C][/ROW]
[ROW][C]0.64[/C][C]120.152792274791[/C][C]1.7477224790959[/C][/ROW]
[ROW][C]0.65[/C][C]120.478470026746[/C][C]1.87728831375452[/C][/ROW]
[ROW][C]0.66[/C][C]120.828480129159[/C][C]2.01536634107629[/C][/ROW]
[ROW][C]0.67[/C][C]121.203521209018[/C][C]2.15427248828939[/C][/ROW]
[ROW][C]0.68[/C][C]121.602949821538[/C][C]2.28493609327833[/C][/ROW]
[ROW][C]0.69[/C][C]122.024606766643[/C][C]2.39764392428623[/C][/ROW]
[ROW][C]0.7[/C][C]122.464779545217[/C][C]2.48276581653652[/C][/ROW]
[ROW][C]0.71[/C][C]122.91832735263[/C][C]2.53250050771156[/C][/ROW]
[ROW][C]0.72[/C][C]123.378969301539[/C][C]2.54113681143157[/C][/ROW]
[ROW][C]0.73[/C][C]123.839708034501[/C][C]2.5063337905291[/C][/ROW]
[ROW][C]0.74[/C][C]124.293336232585[/C][C]2.42910219508571[/C][/ROW]
[ROW][C]0.75[/C][C]124.732959125417[/C][C]2.3137423900175[/C][/ROW]
[ROW][C]0.76[/C][C]125.152465936719[/C][C]2.1670732278505[/C][/ROW]
[ROW][C]0.77[/C][C]125.546897304607[/C][C]1.99757567000047[/C][/ROW]
[ROW][C]0.78[/C][C]125.9126799346[/C][C]1.81437006523234[/C][/ROW]
[ROW][C]0.79[/C][C]126.247726967785[/C][C]1.62605002334974[/C][/ROW]
[ROW][C]0.8[/C][C]126.551425202212[/C][C]1.44029495168067[/C][/ROW]
[ROW][C]0.81[/C][C]126.824543092906[/C][C]1.26349751346152[/C][/ROW]
[ROW][C]0.82[/C][C]127.069095113907[/C][C]1.10089404589035[/C][/ROW]
[ROW][C]0.83[/C][C]127.28819119181[/C][C]0.956657469697488[/C][/ROW]
[ROW][C]0.84[/C][C]127.485888740856[/C][C]0.83407900838647[/C][/ROW]
[ROW][C]0.85[/C][C]127.667052008256[/C][C]0.735820989516502[/C][/ROW]
[ROW][C]0.86[/C][C]127.837207985121[/C][C]0.663777936087959[/C][/ROW]
[ROW][C]0.87[/C][C]128.002366607906[/C][C]0.618932801500949[/C][/ROW]
[ROW][C]0.88[/C][C]128.168744903823[/C][C]0.600892892356157[/C][/ROW]
[ROW][C]0.89[/C][C]128.342310649522[/C][C]0.607212394244023[/C][/ROW]
[ROW][C]0.9[/C][C]128.528068199972[/C][C]0.632444703419785[/C][/ROW]
[ROW][C]0.91[/C][C]128.729087203007[/C][C]0.667114805476742[/C][/ROW]
[ROW][C]0.92[/C][C]128.945455098309[/C][C]0.697367405375122[/C][/ROW]
[ROW][C]0.93[/C][C]129.173595854993[/C][C]0.707017523708137[/C][/ROW]
[ROW][C]0.94[/C][C]129.406604682959[/C][C]0.681604525395198[/C][/ROW]
[ROW][C]0.95[/C][C]129.63609439433[/C][C]0.614866810988951[/C][/ROW]
[ROW][C]0.96[/C][C]129.855110467459[/C][C]0.515582151669175[/C][/ROW]
[ROW][C]0.97[/C][C]130.059842262585[/C][C]0.412843996313902[/C][/ROW]
[ROW][C]0.98[/C][C]130.246446324133[/C][C]0.352488398324505[/C][/ROW]
[ROW][C]0.99[/C][C]130.4020921781[/C][C]0.358889728858979[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281561&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281561&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
0.0194.38903359539630.309604177708104
0.0294.5402576113870.361518853634394
0.0394.73131928012240.445437727467999
0.0494.94714476721060.542456941226767
0.0595.18184861890210.645144123391871
0.0695.43524133270120.757475604783513
0.0795.71045372586480.889845783403732
0.0896.01335705018571.05732871567873
0.0996.35257917306161.27705690957852
0.196.73913244256521.56275356758028
0.1197.18522775416461.91830334473962
0.1297.70228850978492.33303671994552
0.1398.29851502403482.78191889372571
0.1498.9765739913033.2287731549501
0.1599.73203033095423.63306439371266
0.16100.5529744479653.95649026628724
0.17101.4209863541284.1698774186773
0.18102.313234273924.25764211416792
0.19103.2052434471934.21941375458278
0.2104.0737600383724.06916912822958
0.21104.8991839008113.83119984446755
0.22105.6672106153633.53578696422271
0.23106.3695406203873.21436308397913
0.24107.0037158271422.89573007039134
0.25107.5722869315132.60290050578151
0.26108.0815805629442.35223598154899
0.27108.5403316690692.15308174936836
0.28108.9583949919272.00795168673195
0.29109.345675923481.91406438481688
0.3109.7113470733331.86448443052811
0.31110.0633562468181.85068584149935
0.32110.4081899552251.8633073170099
0.33110.7508339825311.89419105343583
0.34111.0948656950821.93630087572286
0.35111.4426174463261.98447186000609
0.36111.7953624634982.03387765914088
0.37112.153490384412.08112945101295
0.38112.5166560442472.12299238556962
0.39112.8838996063742.15659000458225
0.4113.2537467070592.17902769713177
0.41113.624302762712.18800983539401
0.42113.993355759482.18154375489353
0.43114.3584974908862.15840621330448
0.44114.7172659258232.11854684440177
0.45115.0673032337452.06266542170912
0.46115.4065170356611.99301034693808
0.47115.7332283391041.9125816459655
0.48116.0462892634961.82519840315131
0.49116.3451570982051.73525527734637
0.5116.6299176567911.64695106628441
0.51116.9012588845931.56431566536025
0.52117.1604035480821.49078735100128
0.53117.4090159662621.42874121028058
0.54117.6491009108671.37984726472576
0.55117.8829123770011.34506663930636
0.56118.1128859584991.3245284067141
0.57118.341601729141.31883480340393
0.58118.5717759961521.32799870651543
0.59118.8062715252331.35310005655645
0.6119.0481084216471.39500026774311
0.61119.3004533104881.45500537530274
0.62119.5665640644021.53407020505726
0.63119.8496718955791.63217353730007
0.64120.1527922747911.7477224790959
0.65120.4784700267461.87728831375452
0.66120.8284801291592.01536634107629
0.67121.2035212090182.15427248828939
0.68121.6029498215382.28493609327833
0.69122.0246067666432.39764392428623
0.7122.4647795452172.48276581653652
0.71122.918327352632.53250050771156
0.72123.3789693015392.54113681143157
0.73123.8397080345012.5063337905291
0.74124.2933362325852.42910219508571
0.75124.7329591254172.3137423900175
0.76125.1524659367192.1670732278505
0.77125.5468973046071.99757567000047
0.78125.91267993461.81437006523234
0.79126.2477269677851.62605002334974
0.8126.5514252022121.44029495168067
0.81126.8245430929061.26349751346152
0.82127.0690951139071.10089404589035
0.83127.288191191810.956657469697488
0.84127.4858887408560.83407900838647
0.85127.6670520082560.735820989516502
0.86127.8372079851210.663777936087959
0.87128.0023666079060.618932801500949
0.88128.1687449038230.600892892356157
0.89128.3423106495220.607212394244023
0.9128.5280681999720.632444703419785
0.91128.7290872030070.667114805476742
0.92128.9454550983090.697367405375122
0.93129.1735958549930.707017523708137
0.94129.4066046829590.681604525395198
0.95129.636094394330.614866810988951
0.96129.8551104674590.515582151669175
0.97130.0598422625850.412843996313902
0.98130.2464463241330.352488398324505
0.99130.40209217810.358889728858979


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 10 ;
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')