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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, 15 Oct 2012 15:08:51 -0400
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/Oct/15/t1350328218gijh3fzytmjuaor.htm/, Retrieved Tue, 07 May 2024 08:21:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=177723, Retrieved Tue, 07 May 2024 08:21:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact48

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] [evolutie prijs sc...] [2012-10-15 19:08:51] [b973758fc1658916c4a7c8f7ddd22f57] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
348,33
272
272
272
272
272
272
272
272
272
272
272
272
132
132
132
132
132
132
132
132
132
132
132
132
135
135
135
135
135
135
135
135
135
135
135
135
144
144
144
144
144
144
144
144
144
144
144
144
145
145
145
145
145
145
145
145
145
145
145
145
146
146
146
146
146
146
146
146
146
146
146

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177723&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177723&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177723&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01132.0000022744520
0.02132.0000237430980.000143748807383856
0.03132.0001409516630.000766660306047232
0.04132.0006074756290.00287497614767712
0.05132.0020919764710.00891242605779907
0.06132.0060605407320.0233831393344406
0.07132.0152545522780.052899561117259
0.08132.0341088705560.105799122234518
0.09132.068866459710.190179672168841
0.1132.1271451843170.310583676781927
0.11132.2168447563030.465429909858038
0.12132.3445242896790.644885983423033
0.13132.5136389438520.831232653486188
0.14132.7231731978571.00218996858631
0.15132.9671616416271.13547119116704
0.16133.2353477922171.21450361774537
0.17133.5148900825731.232235455658
0.18133.792717660111.19285767058757
0.19134.0579784708731.11153476969854
0.2134.3040470834641.01140142947855
0.21134.5297296961170.921647218554823
0.22134.7395319942670.875000193371372
0.23134.9430558452320.902323681227653
0.24135.1537137066461.02239918422058
0.25135.3869922782371.23554968236563
0.26135.6584892225831.52882105800785
0.27135.9819260516131.88197793549349
0.28136.3673296841952.26918507283832
0.29136.8195749681812.66001466514779
0.3137.3374730890983.02085355650822
0.31137.9135545224213.31920365870259
0.32138.5346181885993.52714711109054
0.33139.183006847283.6256366875005
0.34139.8384457422683.60633514129467
0.35140.4801789817653.47294128355158
0.36141.0890848141573.24049430896373
0.37141.6494620565572.93210430299821
0.38142.150252290662.57592127361734
0.39142.5855763369232.20094337128707
0.4142.9545898523091.83386963203737
0.41143.260772583811.49624258072106
0.42143.5108379026951.20310887974917
0.43143.7134752920880.963029279369423
0.44143.8781223668170.778271724813562
0.45144.0139173352980.645978763888824
0.46144.1289235054670.558922855131127
0.47144.2296589390260.506181380431172
0.48144.3209165754740.475584767028157
0.49144.4058275875120.456442901474274
0.5144.4861034076020.440456246427606
0.51144.5623870786030.422541774053439
0.52144.6346486821530.400394586056342
0.53144.7025692155090.373836151021816
0.54144.7658698568960.344391367619395
0.55144.824557341820.314532401417006
0.56144.8790700597570.287719457082518
0.57144.9303228397790.267301490189712
0.58144.9796610574650.256685081591023
0.59145.0287470631910.257693407531555
0.6145.0794150779850.27085431845004
0.61145.133546385840.294745096800254
0.62145.1930371289590.327447699766302
0.63145.259958543190.36798512372255
0.64145.3370452643640.41806345064351
0.65145.4286896030340.485296873546861
0.66145.5426604840910.588963378428624
0.67145.6927868182230.765992127367732
0.68145.9028139941381.07649153145977
0.69146.2115119533271.60529490021665
0.7146.6788301236262.46331523897812
0.71147.3924186547353.78884891347604
0.72148.473177135825.74122956271129
0.73150.0777555716968.48325753950836
0.74152.39534994721812.1493032687829
0.75155.63605901821516.8006411531509
0.76160.00889359529122.3751120396984
0.77165.68952317552828.6423042056325
0.78172.78093092516635.180488736026
0.79181.27372056125141.393173299624
0.8191.01572413698746.5748565648952
0.81201.70136148382250.0244004650583
0.82212.88873578141651.1864798789835
0.83224.04650425071849.7865753286881
0.84234.62435720575645.9168775507088
0.85244.13303528947240.0414389994512
0.86252.215303618332.9095596547158
0.87258.69047026460625.3973530262494
0.88263.56213224097218.3238795747838
0.89266.98965664909912.2964662232946
0.9269.2347156312237.62815084019559
0.91270.6018460074324.34429510998269
0.92271.3967537475522.26042693631368
0.93271.933764499381.1191574181755
0.94272.6429256181950.974561580685295
0.95274.3467490415692.48772472374318
0.96278.7029467221546.84027639747501
0.97288.4073409017316.5424197553118
0.98305.91210113739333.884442272227
0.99329.33069001361756.8444141815017

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 132.000002274452 & 0 \tabularnewline
0.02 & 132.000023743098 & 0.000143748807383856 \tabularnewline
0.03 & 132.000140951663 & 0.000766660306047232 \tabularnewline
0.04 & 132.000607475629 & 0.00287497614767712 \tabularnewline
0.05 & 132.002091976471 & 0.00891242605779907 \tabularnewline
0.06 & 132.006060540732 & 0.0233831393344406 \tabularnewline
0.07 & 132.015254552278 & 0.052899561117259 \tabularnewline
0.08 & 132.034108870556 & 0.105799122234518 \tabularnewline
0.09 & 132.06886645971 & 0.190179672168841 \tabularnewline
0.1 & 132.127145184317 & 0.310583676781927 \tabularnewline
0.11 & 132.216844756303 & 0.465429909858038 \tabularnewline
0.12 & 132.344524289679 & 0.644885983423033 \tabularnewline
0.13 & 132.513638943852 & 0.831232653486188 \tabularnewline
0.14 & 132.723173197857 & 1.00218996858631 \tabularnewline
0.15 & 132.967161641627 & 1.13547119116704 \tabularnewline
0.16 & 133.235347792217 & 1.21450361774537 \tabularnewline
0.17 & 133.514890082573 & 1.232235455658 \tabularnewline
0.18 & 133.79271766011 & 1.19285767058757 \tabularnewline
0.19 & 134.057978470873 & 1.11153476969854 \tabularnewline
0.2 & 134.304047083464 & 1.01140142947855 \tabularnewline
0.21 & 134.529729696117 & 0.921647218554823 \tabularnewline
0.22 & 134.739531994267 & 0.875000193371372 \tabularnewline
0.23 & 134.943055845232 & 0.902323681227653 \tabularnewline
0.24 & 135.153713706646 & 1.02239918422058 \tabularnewline
0.25 & 135.386992278237 & 1.23554968236563 \tabularnewline
0.26 & 135.658489222583 & 1.52882105800785 \tabularnewline
0.27 & 135.981926051613 & 1.88197793549349 \tabularnewline
0.28 & 136.367329684195 & 2.26918507283832 \tabularnewline
0.29 & 136.819574968181 & 2.66001466514779 \tabularnewline
0.3 & 137.337473089098 & 3.02085355650822 \tabularnewline
0.31 & 137.913554522421 & 3.31920365870259 \tabularnewline
0.32 & 138.534618188599 & 3.52714711109054 \tabularnewline
0.33 & 139.18300684728 & 3.6256366875005 \tabularnewline
0.34 & 139.838445742268 & 3.60633514129467 \tabularnewline
0.35 & 140.480178981765 & 3.47294128355158 \tabularnewline
0.36 & 141.089084814157 & 3.24049430896373 \tabularnewline
0.37 & 141.649462056557 & 2.93210430299821 \tabularnewline
0.38 & 142.15025229066 & 2.57592127361734 \tabularnewline
0.39 & 142.585576336923 & 2.20094337128707 \tabularnewline
0.4 & 142.954589852309 & 1.83386963203737 \tabularnewline
0.41 & 143.26077258381 & 1.49624258072106 \tabularnewline
0.42 & 143.510837902695 & 1.20310887974917 \tabularnewline
0.43 & 143.713475292088 & 0.963029279369423 \tabularnewline
0.44 & 143.878122366817 & 0.778271724813562 \tabularnewline
0.45 & 144.013917335298 & 0.645978763888824 \tabularnewline
0.46 & 144.128923505467 & 0.558922855131127 \tabularnewline
0.47 & 144.229658939026 & 0.506181380431172 \tabularnewline
0.48 & 144.320916575474 & 0.475584767028157 \tabularnewline
0.49 & 144.405827587512 & 0.456442901474274 \tabularnewline
0.5 & 144.486103407602 & 0.440456246427606 \tabularnewline
0.51 & 144.562387078603 & 0.422541774053439 \tabularnewline
0.52 & 144.634648682153 & 0.400394586056342 \tabularnewline
0.53 & 144.702569215509 & 0.373836151021816 \tabularnewline
0.54 & 144.765869856896 & 0.344391367619395 \tabularnewline
0.55 & 144.82455734182 & 0.314532401417006 \tabularnewline
0.56 & 144.879070059757 & 0.287719457082518 \tabularnewline
0.57 & 144.930322839779 & 0.267301490189712 \tabularnewline
0.58 & 144.979661057465 & 0.256685081591023 \tabularnewline
0.59 & 145.028747063191 & 0.257693407531555 \tabularnewline
0.6 & 145.079415077985 & 0.27085431845004 \tabularnewline
0.61 & 145.13354638584 & 0.294745096800254 \tabularnewline
0.62 & 145.193037128959 & 0.327447699766302 \tabularnewline
0.63 & 145.25995854319 & 0.36798512372255 \tabularnewline
0.64 & 145.337045264364 & 0.41806345064351 \tabularnewline
0.65 & 145.428689603034 & 0.485296873546861 \tabularnewline
0.66 & 145.542660484091 & 0.588963378428624 \tabularnewline
0.67 & 145.692786818223 & 0.765992127367732 \tabularnewline
0.68 & 145.902813994138 & 1.07649153145977 \tabularnewline
0.69 & 146.211511953327 & 1.60529490021665 \tabularnewline
0.7 & 146.678830123626 & 2.46331523897812 \tabularnewline
0.71 & 147.392418654735 & 3.78884891347604 \tabularnewline
0.72 & 148.47317713582 & 5.74122956271129 \tabularnewline
0.73 & 150.077755571696 & 8.48325753950836 \tabularnewline
0.74 & 152.395349947218 & 12.1493032687829 \tabularnewline
0.75 & 155.636059018215 & 16.8006411531509 \tabularnewline
0.76 & 160.008893595291 & 22.3751120396984 \tabularnewline
0.77 & 165.689523175528 & 28.6423042056325 \tabularnewline
0.78 & 172.780930925166 & 35.180488736026 \tabularnewline
0.79 & 181.273720561251 & 41.393173299624 \tabularnewline
0.8 & 191.015724136987 & 46.5748565648952 \tabularnewline
0.81 & 201.701361483822 & 50.0244004650583 \tabularnewline
0.82 & 212.888735781416 & 51.1864798789835 \tabularnewline
0.83 & 224.046504250718 & 49.7865753286881 \tabularnewline
0.84 & 234.624357205756 & 45.9168775507088 \tabularnewline
0.85 & 244.133035289472 & 40.0414389994512 \tabularnewline
0.86 & 252.2153036183 & 32.9095596547158 \tabularnewline
0.87 & 258.690470264606 & 25.3973530262494 \tabularnewline
0.88 & 263.562132240972 & 18.3238795747838 \tabularnewline
0.89 & 266.989656649099 & 12.2964662232946 \tabularnewline
0.9 & 269.234715631223 & 7.62815084019559 \tabularnewline
0.91 & 270.601846007432 & 4.34429510998269 \tabularnewline
0.92 & 271.396753747552 & 2.26042693631368 \tabularnewline
0.93 & 271.93376449938 & 1.1191574181755 \tabularnewline
0.94 & 272.642925618195 & 0.974561580685295 \tabularnewline
0.95 & 274.346749041569 & 2.48772472374318 \tabularnewline
0.96 & 278.702946722154 & 6.84027639747501 \tabularnewline
0.97 & 288.40734090173 & 16.5424197553118 \tabularnewline
0.98 & 305.912101137393 & 33.884442272227 \tabularnewline
0.99 & 329.330690013617 & 56.8444141815017 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177723&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]132.000002274452[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]132.000023743098[/C][C]0.000143748807383856[/C][/ROW]
[ROW][C]0.03[/C][C]132.000140951663[/C][C]0.000766660306047232[/C][/ROW]
[ROW][C]0.04[/C][C]132.000607475629[/C][C]0.00287497614767712[/C][/ROW]
[ROW][C]0.05[/C][C]132.002091976471[/C][C]0.00891242605779907[/C][/ROW]
[ROW][C]0.06[/C][C]132.006060540732[/C][C]0.0233831393344406[/C][/ROW]
[ROW][C]0.07[/C][C]132.015254552278[/C][C]0.052899561117259[/C][/ROW]
[ROW][C]0.08[/C][C]132.034108870556[/C][C]0.105799122234518[/C][/ROW]
[ROW][C]0.09[/C][C]132.06886645971[/C][C]0.190179672168841[/C][/ROW]
[ROW][C]0.1[/C][C]132.127145184317[/C][C]0.310583676781927[/C][/ROW]
[ROW][C]0.11[/C][C]132.216844756303[/C][C]0.465429909858038[/C][/ROW]
[ROW][C]0.12[/C][C]132.344524289679[/C][C]0.644885983423033[/C][/ROW]
[ROW][C]0.13[/C][C]132.513638943852[/C][C]0.831232653486188[/C][/ROW]
[ROW][C]0.14[/C][C]132.723173197857[/C][C]1.00218996858631[/C][/ROW]
[ROW][C]0.15[/C][C]132.967161641627[/C][C]1.13547119116704[/C][/ROW]
[ROW][C]0.16[/C][C]133.235347792217[/C][C]1.21450361774537[/C][/ROW]
[ROW][C]0.17[/C][C]133.514890082573[/C][C]1.232235455658[/C][/ROW]
[ROW][C]0.18[/C][C]133.79271766011[/C][C]1.19285767058757[/C][/ROW]
[ROW][C]0.19[/C][C]134.057978470873[/C][C]1.11153476969854[/C][/ROW]
[ROW][C]0.2[/C][C]134.304047083464[/C][C]1.01140142947855[/C][/ROW]
[ROW][C]0.21[/C][C]134.529729696117[/C][C]0.921647218554823[/C][/ROW]
[ROW][C]0.22[/C][C]134.739531994267[/C][C]0.875000193371372[/C][/ROW]
[ROW][C]0.23[/C][C]134.943055845232[/C][C]0.902323681227653[/C][/ROW]
[ROW][C]0.24[/C][C]135.153713706646[/C][C]1.02239918422058[/C][/ROW]
[ROW][C]0.25[/C][C]135.386992278237[/C][C]1.23554968236563[/C][/ROW]
[ROW][C]0.26[/C][C]135.658489222583[/C][C]1.52882105800785[/C][/ROW]
[ROW][C]0.27[/C][C]135.981926051613[/C][C]1.88197793549349[/C][/ROW]
[ROW][C]0.28[/C][C]136.367329684195[/C][C]2.26918507283832[/C][/ROW]
[ROW][C]0.29[/C][C]136.819574968181[/C][C]2.66001466514779[/C][/ROW]
[ROW][C]0.3[/C][C]137.337473089098[/C][C]3.02085355650822[/C][/ROW]
[ROW][C]0.31[/C][C]137.913554522421[/C][C]3.31920365870259[/C][/ROW]
[ROW][C]0.32[/C][C]138.534618188599[/C][C]3.52714711109054[/C][/ROW]
[ROW][C]0.33[/C][C]139.18300684728[/C][C]3.6256366875005[/C][/ROW]
[ROW][C]0.34[/C][C]139.838445742268[/C][C]3.60633514129467[/C][/ROW]
[ROW][C]0.35[/C][C]140.480178981765[/C][C]3.47294128355158[/C][/ROW]
[ROW][C]0.36[/C][C]141.089084814157[/C][C]3.24049430896373[/C][/ROW]
[ROW][C]0.37[/C][C]141.649462056557[/C][C]2.93210430299821[/C][/ROW]
[ROW][C]0.38[/C][C]142.15025229066[/C][C]2.57592127361734[/C][/ROW]
[ROW][C]0.39[/C][C]142.585576336923[/C][C]2.20094337128707[/C][/ROW]
[ROW][C]0.4[/C][C]142.954589852309[/C][C]1.83386963203737[/C][/ROW]
[ROW][C]0.41[/C][C]143.26077258381[/C][C]1.49624258072106[/C][/ROW]
[ROW][C]0.42[/C][C]143.510837902695[/C][C]1.20310887974917[/C][/ROW]
[ROW][C]0.43[/C][C]143.713475292088[/C][C]0.963029279369423[/C][/ROW]
[ROW][C]0.44[/C][C]143.878122366817[/C][C]0.778271724813562[/C][/ROW]
[ROW][C]0.45[/C][C]144.013917335298[/C][C]0.645978763888824[/C][/ROW]
[ROW][C]0.46[/C][C]144.128923505467[/C][C]0.558922855131127[/C][/ROW]
[ROW][C]0.47[/C][C]144.229658939026[/C][C]0.506181380431172[/C][/ROW]
[ROW][C]0.48[/C][C]144.320916575474[/C][C]0.475584767028157[/C][/ROW]
[ROW][C]0.49[/C][C]144.405827587512[/C][C]0.456442901474274[/C][/ROW]
[ROW][C]0.5[/C][C]144.486103407602[/C][C]0.440456246427606[/C][/ROW]
[ROW][C]0.51[/C][C]144.562387078603[/C][C]0.422541774053439[/C][/ROW]
[ROW][C]0.52[/C][C]144.634648682153[/C][C]0.400394586056342[/C][/ROW]
[ROW][C]0.53[/C][C]144.702569215509[/C][C]0.373836151021816[/C][/ROW]
[ROW][C]0.54[/C][C]144.765869856896[/C][C]0.344391367619395[/C][/ROW]
[ROW][C]0.55[/C][C]144.82455734182[/C][C]0.314532401417006[/C][/ROW]
[ROW][C]0.56[/C][C]144.879070059757[/C][C]0.287719457082518[/C][/ROW]
[ROW][C]0.57[/C][C]144.930322839779[/C][C]0.267301490189712[/C][/ROW]
[ROW][C]0.58[/C][C]144.979661057465[/C][C]0.256685081591023[/C][/ROW]
[ROW][C]0.59[/C][C]145.028747063191[/C][C]0.257693407531555[/C][/ROW]
[ROW][C]0.6[/C][C]145.079415077985[/C][C]0.27085431845004[/C][/ROW]
[ROW][C]0.61[/C][C]145.13354638584[/C][C]0.294745096800254[/C][/ROW]
[ROW][C]0.62[/C][C]145.193037128959[/C][C]0.327447699766302[/C][/ROW]
[ROW][C]0.63[/C][C]145.25995854319[/C][C]0.36798512372255[/C][/ROW]
[ROW][C]0.64[/C][C]145.337045264364[/C][C]0.41806345064351[/C][/ROW]
[ROW][C]0.65[/C][C]145.428689603034[/C][C]0.485296873546861[/C][/ROW]
[ROW][C]0.66[/C][C]145.542660484091[/C][C]0.588963378428624[/C][/ROW]
[ROW][C]0.67[/C][C]145.692786818223[/C][C]0.765992127367732[/C][/ROW]
[ROW][C]0.68[/C][C]145.902813994138[/C][C]1.07649153145977[/C][/ROW]
[ROW][C]0.69[/C][C]146.211511953327[/C][C]1.60529490021665[/C][/ROW]
[ROW][C]0.7[/C][C]146.678830123626[/C][C]2.46331523897812[/C][/ROW]
[ROW][C]0.71[/C][C]147.392418654735[/C][C]3.78884891347604[/C][/ROW]
[ROW][C]0.72[/C][C]148.47317713582[/C][C]5.74122956271129[/C][/ROW]
[ROW][C]0.73[/C][C]150.077755571696[/C][C]8.48325753950836[/C][/ROW]
[ROW][C]0.74[/C][C]152.395349947218[/C][C]12.1493032687829[/C][/ROW]
[ROW][C]0.75[/C][C]155.636059018215[/C][C]16.8006411531509[/C][/ROW]
[ROW][C]0.76[/C][C]160.008893595291[/C][C]22.3751120396984[/C][/ROW]
[ROW][C]0.77[/C][C]165.689523175528[/C][C]28.6423042056325[/C][/ROW]
[ROW][C]0.78[/C][C]172.780930925166[/C][C]35.180488736026[/C][/ROW]
[ROW][C]0.79[/C][C]181.273720561251[/C][C]41.393173299624[/C][/ROW]
[ROW][C]0.8[/C][C]191.015724136987[/C][C]46.5748565648952[/C][/ROW]
[ROW][C]0.81[/C][C]201.701361483822[/C][C]50.0244004650583[/C][/ROW]
[ROW][C]0.82[/C][C]212.888735781416[/C][C]51.1864798789835[/C][/ROW]
[ROW][C]0.83[/C][C]224.046504250718[/C][C]49.7865753286881[/C][/ROW]
[ROW][C]0.84[/C][C]234.624357205756[/C][C]45.9168775507088[/C][/ROW]
[ROW][C]0.85[/C][C]244.133035289472[/C][C]40.0414389994512[/C][/ROW]
[ROW][C]0.86[/C][C]252.2153036183[/C][C]32.9095596547158[/C][/ROW]
[ROW][C]0.87[/C][C]258.690470264606[/C][C]25.3973530262494[/C][/ROW]
[ROW][C]0.88[/C][C]263.562132240972[/C][C]18.3238795747838[/C][/ROW]
[ROW][C]0.89[/C][C]266.989656649099[/C][C]12.2964662232946[/C][/ROW]
[ROW][C]0.9[/C][C]269.234715631223[/C][C]7.62815084019559[/C][/ROW]
[ROW][C]0.91[/C][C]270.601846007432[/C][C]4.34429510998269[/C][/ROW]
[ROW][C]0.92[/C][C]271.396753747552[/C][C]2.26042693631368[/C][/ROW]
[ROW][C]0.93[/C][C]271.93376449938[/C][C]1.1191574181755[/C][/ROW]
[ROW][C]0.94[/C][C]272.642925618195[/C][C]0.974561580685295[/C][/ROW]
[ROW][C]0.95[/C][C]274.346749041569[/C][C]2.48772472374318[/C][/ROW]
[ROW][C]0.96[/C][C]278.702946722154[/C][C]6.84027639747501[/C][/ROW]
[ROW][C]0.97[/C][C]288.40734090173[/C][C]16.5424197553118[/C][/ROW]
[ROW][C]0.98[/C][C]305.912101137393[/C][C]33.884442272227[/C][/ROW]
[ROW][C]0.99[/C][C]329.330690013617[/C][C]56.8444141815017[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177723&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177723&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
0.01132.0000022744520
0.02132.0000237430980.000143748807383856
0.03132.0001409516630.000766660306047232
0.04132.0006074756290.00287497614767712
0.05132.0020919764710.00891242605779907
0.06132.0060605407320.0233831393344406
0.07132.0152545522780.052899561117259
0.08132.0341088705560.105799122234518
0.09132.068866459710.190179672168841
0.1132.1271451843170.310583676781927
0.11132.2168447563030.465429909858038
0.12132.3445242896790.644885983423033
0.13132.5136389438520.831232653486188
0.14132.7231731978571.00218996858631
0.15132.9671616416271.13547119116704
0.16133.2353477922171.21450361774537
0.17133.5148900825731.232235455658
0.18133.792717660111.19285767058757
0.19134.0579784708731.11153476969854
0.2134.3040470834641.01140142947855
0.21134.5297296961170.921647218554823
0.22134.7395319942670.875000193371372
0.23134.9430558452320.902323681227653
0.24135.1537137066461.02239918422058
0.25135.3869922782371.23554968236563
0.26135.6584892225831.52882105800785
0.27135.9819260516131.88197793549349
0.28136.3673296841952.26918507283832
0.29136.8195749681812.66001466514779
0.3137.3374730890983.02085355650822
0.31137.9135545224213.31920365870259
0.32138.5346181885993.52714711109054
0.33139.183006847283.6256366875005
0.34139.8384457422683.60633514129467
0.35140.4801789817653.47294128355158
0.36141.0890848141573.24049430896373
0.37141.6494620565572.93210430299821
0.38142.150252290662.57592127361734
0.39142.5855763369232.20094337128707
0.4142.9545898523091.83386963203737
0.41143.260772583811.49624258072106
0.42143.5108379026951.20310887974917
0.43143.7134752920880.963029279369423
0.44143.8781223668170.778271724813562
0.45144.0139173352980.645978763888824
0.46144.1289235054670.558922855131127
0.47144.2296589390260.506181380431172
0.48144.3209165754740.475584767028157
0.49144.4058275875120.456442901474274
0.5144.4861034076020.440456246427606
0.51144.5623870786030.422541774053439
0.52144.6346486821530.400394586056342
0.53144.7025692155090.373836151021816
0.54144.7658698568960.344391367619395
0.55144.824557341820.314532401417006
0.56144.8790700597570.287719457082518
0.57144.9303228397790.267301490189712
0.58144.9796610574650.256685081591023
0.59145.0287470631910.257693407531555
0.6145.0794150779850.27085431845004
0.61145.133546385840.294745096800254
0.62145.1930371289590.327447699766302
0.63145.259958543190.36798512372255
0.64145.3370452643640.41806345064351
0.65145.4286896030340.485296873546861
0.66145.5426604840910.588963378428624
0.67145.6927868182230.765992127367732
0.68145.9028139941381.07649153145977
0.69146.2115119533271.60529490021665
0.7146.6788301236262.46331523897812
0.71147.3924186547353.78884891347604
0.72148.473177135825.74122956271129
0.73150.0777555716968.48325753950836
0.74152.39534994721812.1493032687829
0.75155.63605901821516.8006411531509
0.76160.00889359529122.3751120396984
0.77165.68952317552828.6423042056325
0.78172.78093092516635.180488736026
0.79181.27372056125141.393173299624
0.8191.01572413698746.5748565648952
0.81201.70136148382250.0244004650583
0.82212.88873578141651.1864798789835
0.83224.04650425071849.7865753286881
0.84234.62435720575645.9168775507088
0.85244.13303528947240.0414389994512
0.86252.215303618332.9095596547158
0.87258.69047026460625.3973530262494
0.88263.56213224097218.3238795747838
0.89266.98965664909912.2964662232946
0.9269.2347156312237.62815084019559
0.91270.6018460074324.34429510998269
0.92271.3967537475522.26042693631368
0.93271.933764499381.1191574181755
0.94272.6429256181950.974561580685295
0.95274.3467490415692.48772472374318
0.96278.7029467221546.84027639747501
0.97288.4073409017316.5424197553118
0.98305.91210113739333.884442272227
0.99329.33069001361756.8444141815017


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')