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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 19 Nov 2010 09:15:58 +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/Nov/19/t1290158135okuus7xp45atu3o.htm/, Retrieved Sat, 04 May 2024 01:54:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97859, Retrieved Sat, 04 May 2024 01:54:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [] [2010-10-20 18:18:38] [b98453cac15ba1066b407e146608df68]
- RMP   [Harrell-Davis Quantiles] [] [2010-11-04 21:27:04] [b98453cac15ba1066b407e146608df68]
-   PD    [Harrell-Davis Quantiles] [] [2010-11-19 08:48:34] [fc9068db680cd880760a7c0fccd81a61]
-    D        [Harrell-Davis Quantiles] [apo buy] [2010-11-19 09:15:58] [a8abc7260f3c847aeac0a796e7895a2e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.6185277824407E-14
4.6185277824407E-14
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97859&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97859&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97859&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 time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.90.005037495960221250.000769744965178028
0.9010.005085024267572710.000741701289477598
0.9020.005130945699455450.000714381448604434
0.9030.005175283306105530.000687683505917325
0.9040.005218055841490540.000661511925048442
0.9050.005259278070606740.000635777530781399
0.9060.005298961211895470.00061041103216583
0.9070.00533711349388470.000585330053848324
0.9080.005373740803152350.00056048975916782
0.9090.005408847399412060.000535855648415317
0.910.005442436672947870.000511390964078198
0.9110.005474511919756180.000487090488047607
0.9120.005505077110558260.000462962840924562
0.9130.005534137631268840.000439020949860011
0.9140.005561700974478930.000415296834922471
0.9150.005587777363949520.000391829555921887
0.9160.005612380296925980.000368664499343853
0.9170.005635526992172050.000345863658068094
0.9180.005657238734884780.000323481589638553
0.9190.005677541112986440.000301589750006125
0.920.005696464142598320.000280247131955928
0.9210.00571404228369140.000259521054517348
0.9220.00573031434989750.000239473053004476
0.9230.005745323319178840.000220161778041038
0.9240.005759116054433290.000201643129517704
0.9250.005771742945111480.000183964615988329
0.9260.005783257482508220.000167163884962423
0.9270.005793715782547680.000151278986761907
0.9280.005803176070609580.000136327297812424
0.9290.005811698143255680.000122328878827784
0.930.005819342821642170.000109286372253664
0.9310.005826171410988279.72033043810285e-05
0.9320.00583224517977178.60632562479427e-05
0.9330.005837624871408877.5856648938815e-05
0.9340.005842370260133536.6557610609634e-05
0.9350.005846539761703735.81316603106407e-05
0.9360.005850190108544115.05464597912748e-05
0.9370.005853376098072324.37659493437197e-05
0.9380.005856150422370223.77423240570944e-05
0.9390.005858563587142663.24370436288527e-05
0.940.005860663928146962.78047908063769e-05
0.9410.005862497734038772.3800368071523e-05
0.9420.00586410948589722.03875340246944e-05
0.9430.005865542225543071.75319914322556e-05
0.9440.005866838067064741.52024349258232e-05
0.9450.005868038868546631.33866811046646e-05
0.9460.005869187083586071.20804974488006e-05
0.9470.005870326814406481.13019454731967e-05
0.9480.005871505089735571.10707659378863e-05
0.9490.005872773390533411.14227899778973e-05
0.950.005874189444490271.23790697594183e-05
0.9510.005875819305364681.3990814543452e-05
0.9520.005877739725253741.63099274668279e-05
0.9530.005880040816682851.94187946248702e-05
0.9540.00588282898747122.34392628326627e-05
0.9550.005886230116083942.85192296450764e-05
0.9560.005890392921304053.48385022318157e-05
0.9570.005895492471869654.26096407633483e-05
0.9580.005901733785510695.20621351342748e-05
0.9590.005909355490997186.345637846712e-05
0.960.005918633581801157.70570714960181e-05
0.9610.005929885387615339.31452066232587e-05
0.9620.005943474042229170.000112001734928173
0.9630.00595981394303370.000133903423710757
0.9640.005979377983204110.000159115612979025
0.9650.006002707686942960.000187909265819756
0.9660.006030427769988240.000220557066155191
0.9670.00606326703886370.000257375253356425
0.9680.006102087861962020.00029876957316128
0.9690.006147926590035570.000345300561895609
0.970.006202047137035950.000397812096080521
0.9710.006266009292967550.000457555379850733
0.9720.006341752058954670.000526368914626649
0.9730.006431690224755740.000606850833055561
0.9740.006538819474230970.000702492912484422
0.9750.0066668215598880.000817727948740692
0.9760.006820156789908360.00095781204296373
0.9770.007004126743230340.00112849802065955
0.9780.007224886601461520.00133551017669551
0.9790.00748938488812850.00158379618512470
0.980.00780521006442110.00187666306511308
0.9810.008180329667771880.00221482863611087
0.9820.008622719475965480.00259547003168904
0.9830.009139897724057720.00301142836182023
0.9840.009738401567229260.00345071407808076
0.9850.01042326680256200.00389654243234167
0.9860.01119759210074920.00432809049570164
0.9870.0120622779271860.00472213663257633
0.9880.01301601786075980.00505554331613378
0.9890.01405557447402510.0053084206222142
0.990.01517628216751080.00546741722866128
0.9910.01637257952299390.00552852493949831
0.9920.01763819298892160.00549858154657149
0.9930.01896541268825330.00539500993102841
0.9940.02034281458449830.0052439086241817
0.9950.02175095879195650.00507738287558591
0.9960.02315626047939240.00493057843345082
0.9970.02450458869562360.00483658462721372
0.9980.02571815137645110.0048153045275506
0.9990.02670121242707330.00485814639014945

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.9 & 0.00503749596022125 & 0.000769744965178028 \tabularnewline
0.901 & 0.00508502426757271 & 0.000741701289477598 \tabularnewline
0.902 & 0.00513094569945545 & 0.000714381448604434 \tabularnewline
0.903 & 0.00517528330610553 & 0.000687683505917325 \tabularnewline
0.904 & 0.00521805584149054 & 0.000661511925048442 \tabularnewline
0.905 & 0.00525927807060674 & 0.000635777530781399 \tabularnewline
0.906 & 0.00529896121189547 & 0.00061041103216583 \tabularnewline
0.907 & 0.0053371134938847 & 0.000585330053848324 \tabularnewline
0.908 & 0.00537374080315235 & 0.00056048975916782 \tabularnewline
0.909 & 0.00540884739941206 & 0.000535855648415317 \tabularnewline
0.91 & 0.00544243667294787 & 0.000511390964078198 \tabularnewline
0.911 & 0.00547451191975618 & 0.000487090488047607 \tabularnewline
0.912 & 0.00550507711055826 & 0.000462962840924562 \tabularnewline
0.913 & 0.00553413763126884 & 0.000439020949860011 \tabularnewline
0.914 & 0.00556170097447893 & 0.000415296834922471 \tabularnewline
0.915 & 0.00558777736394952 & 0.000391829555921887 \tabularnewline
0.916 & 0.00561238029692598 & 0.000368664499343853 \tabularnewline
0.917 & 0.00563552699217205 & 0.000345863658068094 \tabularnewline
0.918 & 0.00565723873488478 & 0.000323481589638553 \tabularnewline
0.919 & 0.00567754111298644 & 0.000301589750006125 \tabularnewline
0.92 & 0.00569646414259832 & 0.000280247131955928 \tabularnewline
0.921 & 0.0057140422836914 & 0.000259521054517348 \tabularnewline
0.922 & 0.0057303143498975 & 0.000239473053004476 \tabularnewline
0.923 & 0.00574532331917884 & 0.000220161778041038 \tabularnewline
0.924 & 0.00575911605443329 & 0.000201643129517704 \tabularnewline
0.925 & 0.00577174294511148 & 0.000183964615988329 \tabularnewline
0.926 & 0.00578325748250822 & 0.000167163884962423 \tabularnewline
0.927 & 0.00579371578254768 & 0.000151278986761907 \tabularnewline
0.928 & 0.00580317607060958 & 0.000136327297812424 \tabularnewline
0.929 & 0.00581169814325568 & 0.000122328878827784 \tabularnewline
0.93 & 0.00581934282164217 & 0.000109286372253664 \tabularnewline
0.931 & 0.00582617141098827 & 9.72033043810285e-05 \tabularnewline
0.932 & 0.0058322451797717 & 8.60632562479427e-05 \tabularnewline
0.933 & 0.00583762487140887 & 7.5856648938815e-05 \tabularnewline
0.934 & 0.00584237026013353 & 6.6557610609634e-05 \tabularnewline
0.935 & 0.00584653976170373 & 5.81316603106407e-05 \tabularnewline
0.936 & 0.00585019010854411 & 5.05464597912748e-05 \tabularnewline
0.937 & 0.00585337609807232 & 4.37659493437197e-05 \tabularnewline
0.938 & 0.00585615042237022 & 3.77423240570944e-05 \tabularnewline
0.939 & 0.00585856358714266 & 3.24370436288527e-05 \tabularnewline
0.94 & 0.00586066392814696 & 2.78047908063769e-05 \tabularnewline
0.941 & 0.00586249773403877 & 2.3800368071523e-05 \tabularnewline
0.942 & 0.0058641094858972 & 2.03875340246944e-05 \tabularnewline
0.943 & 0.00586554222554307 & 1.75319914322556e-05 \tabularnewline
0.944 & 0.00586683806706474 & 1.52024349258232e-05 \tabularnewline
0.945 & 0.00586803886854663 & 1.33866811046646e-05 \tabularnewline
0.946 & 0.00586918708358607 & 1.20804974488006e-05 \tabularnewline
0.947 & 0.00587032681440648 & 1.13019454731967e-05 \tabularnewline
0.948 & 0.00587150508973557 & 1.10707659378863e-05 \tabularnewline
0.949 & 0.00587277339053341 & 1.14227899778973e-05 \tabularnewline
0.95 & 0.00587418944449027 & 1.23790697594183e-05 \tabularnewline
0.951 & 0.00587581930536468 & 1.3990814543452e-05 \tabularnewline
0.952 & 0.00587773972525374 & 1.63099274668279e-05 \tabularnewline
0.953 & 0.00588004081668285 & 1.94187946248702e-05 \tabularnewline
0.954 & 0.0058828289874712 & 2.34392628326627e-05 \tabularnewline
0.955 & 0.00588623011608394 & 2.85192296450764e-05 \tabularnewline
0.956 & 0.00589039292130405 & 3.48385022318157e-05 \tabularnewline
0.957 & 0.00589549247186965 & 4.26096407633483e-05 \tabularnewline
0.958 & 0.00590173378551069 & 5.20621351342748e-05 \tabularnewline
0.959 & 0.00590935549099718 & 6.345637846712e-05 \tabularnewline
0.96 & 0.00591863358180115 & 7.70570714960181e-05 \tabularnewline
0.961 & 0.00592988538761533 & 9.31452066232587e-05 \tabularnewline
0.962 & 0.00594347404222917 & 0.000112001734928173 \tabularnewline
0.963 & 0.0059598139430337 & 0.000133903423710757 \tabularnewline
0.964 & 0.00597937798320411 & 0.000159115612979025 \tabularnewline
0.965 & 0.00600270768694296 & 0.000187909265819756 \tabularnewline
0.966 & 0.00603042776998824 & 0.000220557066155191 \tabularnewline
0.967 & 0.0060632670388637 & 0.000257375253356425 \tabularnewline
0.968 & 0.00610208786196202 & 0.00029876957316128 \tabularnewline
0.969 & 0.00614792659003557 & 0.000345300561895609 \tabularnewline
0.97 & 0.00620204713703595 & 0.000397812096080521 \tabularnewline
0.971 & 0.00626600929296755 & 0.000457555379850733 \tabularnewline
0.972 & 0.00634175205895467 & 0.000526368914626649 \tabularnewline
0.973 & 0.00643169022475574 & 0.000606850833055561 \tabularnewline
0.974 & 0.00653881947423097 & 0.000702492912484422 \tabularnewline
0.975 & 0.006666821559888 & 0.000817727948740692 \tabularnewline
0.976 & 0.00682015678990836 & 0.00095781204296373 \tabularnewline
0.977 & 0.00700412674323034 & 0.00112849802065955 \tabularnewline
0.978 & 0.00722488660146152 & 0.00133551017669551 \tabularnewline
0.979 & 0.0074893848881285 & 0.00158379618512470 \tabularnewline
0.98 & 0.0078052100644211 & 0.00187666306511308 \tabularnewline
0.981 & 0.00818032966777188 & 0.00221482863611087 \tabularnewline
0.982 & 0.00862271947596548 & 0.00259547003168904 \tabularnewline
0.983 & 0.00913989772405772 & 0.00301142836182023 \tabularnewline
0.984 & 0.00973840156722926 & 0.00345071407808076 \tabularnewline
0.985 & 0.0104232668025620 & 0.00389654243234167 \tabularnewline
0.986 & 0.0111975921007492 & 0.00432809049570164 \tabularnewline
0.987 & 0.012062277927186 & 0.00472213663257633 \tabularnewline
0.988 & 0.0130160178607598 & 0.00505554331613378 \tabularnewline
0.989 & 0.0140555744740251 & 0.0053084206222142 \tabularnewline
0.99 & 0.0151762821675108 & 0.00546741722866128 \tabularnewline
0.991 & 0.0163725795229939 & 0.00552852493949831 \tabularnewline
0.992 & 0.0176381929889216 & 0.00549858154657149 \tabularnewline
0.993 & 0.0189654126882533 & 0.00539500993102841 \tabularnewline
0.994 & 0.0203428145844983 & 0.0052439086241817 \tabularnewline
0.995 & 0.0217509587919565 & 0.00507738287558591 \tabularnewline
0.996 & 0.0231562604793924 & 0.00493057843345082 \tabularnewline
0.997 & 0.0245045886956236 & 0.00483658462721372 \tabularnewline
0.998 & 0.0257181513764511 & 0.0048153045275506 \tabularnewline
0.999 & 0.0267012124270733 & 0.00485814639014945 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97859&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.9[/C][C]0.00503749596022125[/C][C]0.000769744965178028[/C][/ROW]
[ROW][C]0.901[/C][C]0.00508502426757271[/C][C]0.000741701289477598[/C][/ROW]
[ROW][C]0.902[/C][C]0.00513094569945545[/C][C]0.000714381448604434[/C][/ROW]
[ROW][C]0.903[/C][C]0.00517528330610553[/C][C]0.000687683505917325[/C][/ROW]
[ROW][C]0.904[/C][C]0.00521805584149054[/C][C]0.000661511925048442[/C][/ROW]
[ROW][C]0.905[/C][C]0.00525927807060674[/C][C]0.000635777530781399[/C][/ROW]
[ROW][C]0.906[/C][C]0.00529896121189547[/C][C]0.00061041103216583[/C][/ROW]
[ROW][C]0.907[/C][C]0.0053371134938847[/C][C]0.000585330053848324[/C][/ROW]
[ROW][C]0.908[/C][C]0.00537374080315235[/C][C]0.00056048975916782[/C][/ROW]
[ROW][C]0.909[/C][C]0.00540884739941206[/C][C]0.000535855648415317[/C][/ROW]
[ROW][C]0.91[/C][C]0.00544243667294787[/C][C]0.000511390964078198[/C][/ROW]
[ROW][C]0.911[/C][C]0.00547451191975618[/C][C]0.000487090488047607[/C][/ROW]
[ROW][C]0.912[/C][C]0.00550507711055826[/C][C]0.000462962840924562[/C][/ROW]
[ROW][C]0.913[/C][C]0.00553413763126884[/C][C]0.000439020949860011[/C][/ROW]
[ROW][C]0.914[/C][C]0.00556170097447893[/C][C]0.000415296834922471[/C][/ROW]
[ROW][C]0.915[/C][C]0.00558777736394952[/C][C]0.000391829555921887[/C][/ROW]
[ROW][C]0.916[/C][C]0.00561238029692598[/C][C]0.000368664499343853[/C][/ROW]
[ROW][C]0.917[/C][C]0.00563552699217205[/C][C]0.000345863658068094[/C][/ROW]
[ROW][C]0.918[/C][C]0.00565723873488478[/C][C]0.000323481589638553[/C][/ROW]
[ROW][C]0.919[/C][C]0.00567754111298644[/C][C]0.000301589750006125[/C][/ROW]
[ROW][C]0.92[/C][C]0.00569646414259832[/C][C]0.000280247131955928[/C][/ROW]
[ROW][C]0.921[/C][C]0.0057140422836914[/C][C]0.000259521054517348[/C][/ROW]
[ROW][C]0.922[/C][C]0.0057303143498975[/C][C]0.000239473053004476[/C][/ROW]
[ROW][C]0.923[/C][C]0.00574532331917884[/C][C]0.000220161778041038[/C][/ROW]
[ROW][C]0.924[/C][C]0.00575911605443329[/C][C]0.000201643129517704[/C][/ROW]
[ROW][C]0.925[/C][C]0.00577174294511148[/C][C]0.000183964615988329[/C][/ROW]
[ROW][C]0.926[/C][C]0.00578325748250822[/C][C]0.000167163884962423[/C][/ROW]
[ROW][C]0.927[/C][C]0.00579371578254768[/C][C]0.000151278986761907[/C][/ROW]
[ROW][C]0.928[/C][C]0.00580317607060958[/C][C]0.000136327297812424[/C][/ROW]
[ROW][C]0.929[/C][C]0.00581169814325568[/C][C]0.000122328878827784[/C][/ROW]
[ROW][C]0.93[/C][C]0.00581934282164217[/C][C]0.000109286372253664[/C][/ROW]
[ROW][C]0.931[/C][C]0.00582617141098827[/C][C]9.72033043810285e-05[/C][/ROW]
[ROW][C]0.932[/C][C]0.0058322451797717[/C][C]8.60632562479427e-05[/C][/ROW]
[ROW][C]0.933[/C][C]0.00583762487140887[/C][C]7.5856648938815e-05[/C][/ROW]
[ROW][C]0.934[/C][C]0.00584237026013353[/C][C]6.6557610609634e-05[/C][/ROW]
[ROW][C]0.935[/C][C]0.00584653976170373[/C][C]5.81316603106407e-05[/C][/ROW]
[ROW][C]0.936[/C][C]0.00585019010854411[/C][C]5.05464597912748e-05[/C][/ROW]
[ROW][C]0.937[/C][C]0.00585337609807232[/C][C]4.37659493437197e-05[/C][/ROW]
[ROW][C]0.938[/C][C]0.00585615042237022[/C][C]3.77423240570944e-05[/C][/ROW]
[ROW][C]0.939[/C][C]0.00585856358714266[/C][C]3.24370436288527e-05[/C][/ROW]
[ROW][C]0.94[/C][C]0.00586066392814696[/C][C]2.78047908063769e-05[/C][/ROW]
[ROW][C]0.941[/C][C]0.00586249773403877[/C][C]2.3800368071523e-05[/C][/ROW]
[ROW][C]0.942[/C][C]0.0058641094858972[/C][C]2.03875340246944e-05[/C][/ROW]
[ROW][C]0.943[/C][C]0.00586554222554307[/C][C]1.75319914322556e-05[/C][/ROW]
[ROW][C]0.944[/C][C]0.00586683806706474[/C][C]1.52024349258232e-05[/C][/ROW]
[ROW][C]0.945[/C][C]0.00586803886854663[/C][C]1.33866811046646e-05[/C][/ROW]
[ROW][C]0.946[/C][C]0.00586918708358607[/C][C]1.20804974488006e-05[/C][/ROW]
[ROW][C]0.947[/C][C]0.00587032681440648[/C][C]1.13019454731967e-05[/C][/ROW]
[ROW][C]0.948[/C][C]0.00587150508973557[/C][C]1.10707659378863e-05[/C][/ROW]
[ROW][C]0.949[/C][C]0.00587277339053341[/C][C]1.14227899778973e-05[/C][/ROW]
[ROW][C]0.95[/C][C]0.00587418944449027[/C][C]1.23790697594183e-05[/C][/ROW]
[ROW][C]0.951[/C][C]0.00587581930536468[/C][C]1.3990814543452e-05[/C][/ROW]
[ROW][C]0.952[/C][C]0.00587773972525374[/C][C]1.63099274668279e-05[/C][/ROW]
[ROW][C]0.953[/C][C]0.00588004081668285[/C][C]1.94187946248702e-05[/C][/ROW]
[ROW][C]0.954[/C][C]0.0058828289874712[/C][C]2.34392628326627e-05[/C][/ROW]
[ROW][C]0.955[/C][C]0.00588623011608394[/C][C]2.85192296450764e-05[/C][/ROW]
[ROW][C]0.956[/C][C]0.00589039292130405[/C][C]3.48385022318157e-05[/C][/ROW]
[ROW][C]0.957[/C][C]0.00589549247186965[/C][C]4.26096407633483e-05[/C][/ROW]
[ROW][C]0.958[/C][C]0.00590173378551069[/C][C]5.20621351342748e-05[/C][/ROW]
[ROW][C]0.959[/C][C]0.00590935549099718[/C][C]6.345637846712e-05[/C][/ROW]
[ROW][C]0.96[/C][C]0.00591863358180115[/C][C]7.70570714960181e-05[/C][/ROW]
[ROW][C]0.961[/C][C]0.00592988538761533[/C][C]9.31452066232587e-05[/C][/ROW]
[ROW][C]0.962[/C][C]0.00594347404222917[/C][C]0.000112001734928173[/C][/ROW]
[ROW][C]0.963[/C][C]0.0059598139430337[/C][C]0.000133903423710757[/C][/ROW]
[ROW][C]0.964[/C][C]0.00597937798320411[/C][C]0.000159115612979025[/C][/ROW]
[ROW][C]0.965[/C][C]0.00600270768694296[/C][C]0.000187909265819756[/C][/ROW]
[ROW][C]0.966[/C][C]0.00603042776998824[/C][C]0.000220557066155191[/C][/ROW]
[ROW][C]0.967[/C][C]0.0060632670388637[/C][C]0.000257375253356425[/C][/ROW]
[ROW][C]0.968[/C][C]0.00610208786196202[/C][C]0.00029876957316128[/C][/ROW]
[ROW][C]0.969[/C][C]0.00614792659003557[/C][C]0.000345300561895609[/C][/ROW]
[ROW][C]0.97[/C][C]0.00620204713703595[/C][C]0.000397812096080521[/C][/ROW]
[ROW][C]0.971[/C][C]0.00626600929296755[/C][C]0.000457555379850733[/C][/ROW]
[ROW][C]0.972[/C][C]0.00634175205895467[/C][C]0.000526368914626649[/C][/ROW]
[ROW][C]0.973[/C][C]0.00643169022475574[/C][C]0.000606850833055561[/C][/ROW]
[ROW][C]0.974[/C][C]0.00653881947423097[/C][C]0.000702492912484422[/C][/ROW]
[ROW][C]0.975[/C][C]0.006666821559888[/C][C]0.000817727948740692[/C][/ROW]
[ROW][C]0.976[/C][C]0.00682015678990836[/C][C]0.00095781204296373[/C][/ROW]
[ROW][C]0.977[/C][C]0.00700412674323034[/C][C]0.00112849802065955[/C][/ROW]
[ROW][C]0.978[/C][C]0.00722488660146152[/C][C]0.00133551017669551[/C][/ROW]
[ROW][C]0.979[/C][C]0.0074893848881285[/C][C]0.00158379618512470[/C][/ROW]
[ROW][C]0.98[/C][C]0.0078052100644211[/C][C]0.00187666306511308[/C][/ROW]
[ROW][C]0.981[/C][C]0.00818032966777188[/C][C]0.00221482863611087[/C][/ROW]
[ROW][C]0.982[/C][C]0.00862271947596548[/C][C]0.00259547003168904[/C][/ROW]
[ROW][C]0.983[/C][C]0.00913989772405772[/C][C]0.00301142836182023[/C][/ROW]
[ROW][C]0.984[/C][C]0.00973840156722926[/C][C]0.00345071407808076[/C][/ROW]
[ROW][C]0.985[/C][C]0.0104232668025620[/C][C]0.00389654243234167[/C][/ROW]
[ROW][C]0.986[/C][C]0.0111975921007492[/C][C]0.00432809049570164[/C][/ROW]
[ROW][C]0.987[/C][C]0.012062277927186[/C][C]0.00472213663257633[/C][/ROW]
[ROW][C]0.988[/C][C]0.0130160178607598[/C][C]0.00505554331613378[/C][/ROW]
[ROW][C]0.989[/C][C]0.0140555744740251[/C][C]0.0053084206222142[/C][/ROW]
[ROW][C]0.99[/C][C]0.0151762821675108[/C][C]0.00546741722866128[/C][/ROW]
[ROW][C]0.991[/C][C]0.0163725795229939[/C][C]0.00552852493949831[/C][/ROW]
[ROW][C]0.992[/C][C]0.0176381929889216[/C][C]0.00549858154657149[/C][/ROW]
[ROW][C]0.993[/C][C]0.0189654126882533[/C][C]0.00539500993102841[/C][/ROW]
[ROW][C]0.994[/C][C]0.0203428145844983[/C][C]0.0052439086241817[/C][/ROW]
[ROW][C]0.995[/C][C]0.0217509587919565[/C][C]0.00507738287558591[/C][/ROW]
[ROW][C]0.996[/C][C]0.0231562604793924[/C][C]0.00493057843345082[/C][/ROW]
[ROW][C]0.997[/C][C]0.0245045886956236[/C][C]0.00483658462721372[/C][/ROW]
[ROW][C]0.998[/C][C]0.0257181513764511[/C][C]0.0048153045275506[/C][/ROW]
[ROW][C]0.999[/C][C]0.0267012124270733[/C][C]0.00485814639014945[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97859&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97859&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
0.90.005037495960221250.000769744965178028
0.9010.005085024267572710.000741701289477598
0.9020.005130945699455450.000714381448604434
0.9030.005175283306105530.000687683505917325
0.9040.005218055841490540.000661511925048442
0.9050.005259278070606740.000635777530781399
0.9060.005298961211895470.00061041103216583
0.9070.00533711349388470.000585330053848324
0.9080.005373740803152350.00056048975916782
0.9090.005408847399412060.000535855648415317
0.910.005442436672947870.000511390964078198
0.9110.005474511919756180.000487090488047607
0.9120.005505077110558260.000462962840924562
0.9130.005534137631268840.000439020949860011
0.9140.005561700974478930.000415296834922471
0.9150.005587777363949520.000391829555921887
0.9160.005612380296925980.000368664499343853
0.9170.005635526992172050.000345863658068094
0.9180.005657238734884780.000323481589638553
0.9190.005677541112986440.000301589750006125
0.920.005696464142598320.000280247131955928
0.9210.00571404228369140.000259521054517348
0.9220.00573031434989750.000239473053004476
0.9230.005745323319178840.000220161778041038
0.9240.005759116054433290.000201643129517704
0.9250.005771742945111480.000183964615988329
0.9260.005783257482508220.000167163884962423
0.9270.005793715782547680.000151278986761907
0.9280.005803176070609580.000136327297812424
0.9290.005811698143255680.000122328878827784
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0.9990.02670121242707330.00485814639014945


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.90 ; par2 = 0.999 ; par3 = 0.001 ;
Parameters (R input):
par1 = 0.90 ; par2 = 0.999 ; par3 = 0.001 ;
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')