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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 computationWed, 22 Feb 2012 13:08:16 -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/22/t1329934738f5yjiuclgmzw2kw.htm/, Retrieved Mon, 06 May 2024 11:49:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163150, Retrieved Mon, 06 May 2024 11:49:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88

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] [H-D percentielen ...] [2012-02-22 18:08:16] [189d488a4f2698cd6883783c0210c5ef] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6.94
6.98
7.05
7.07
7.08
7.1
7.12
7.13
7.18
7.2
7.21
7.22
7.26
7.29
7.32
7.36
7.41
7.48
7.48
7.51
7.51
7.51
7.51
7.54
7.58
7.64
7.63
7.71
7.77
7.85
7.88
7.89
7.94
8.02
8.08
8.15
8.17
8.17
8.25
8.33
8.41
8.43
8.48
8.52
8.56
8.63
8.7
8.72
8.73
8.82
8.83
8.81
8.82
8.83
8.84
8.83
8.82
8.87
8.87
8.87

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=163150&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=163150&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163150&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
0.016.952520180233730.0432653472115636
0.026.972995100537360.0484909763522735
0.036.99671199341460.0505019847568639
0.047.019889180390190.048116260976549
0.057.040604602980460.0435734103720871
0.067.058450603311180.0396852398754812
0.077.07388825381820.0380413021675985
0.087.087704001482920.0387652529156328
0.097.100664493550310.0411527237442771
0.17.113353600336080.044399376984655
0.117.126138542195710.0479028164732431
0.127.139207088568110.0513278117072261
0.137.152630364949590.0545451658128553
0.147.166423604028950.0576220790660898
0.157.180591769701680.0607398850805734
0.167.195156037689270.0641115906982365
0.177.210162014385140.0679129085017411
0.187.225673250923110.0722183585955119
0.197.241755116917250.0769383907958325
0.27.258454685856160.0818726002914408
0.217.275781948975750.0867126060996176
0.227.293696541463850.0911253433984002
0.237.312102547620070.0947686376795978
0.247.330852229033590.0973625371504753
0.257.34975799727950.098709085251194
0.267.368610798392360.0987432180636011
0.277.387202338435040.0975102092863774
0.287.405348239931680.095213725683919
0.297.422909241364510.0921485460555316
0.37.439807899563760.0887408303456176
0.317.45603888258520.0854478434171041
0.327.471671778512950.0827808908975995
0.337.486846290305670.0811910074830887
0.347.501760610472270.0810505939550364
0.357.516654542410260.0825892850925018
0.367.531789453938930.0858596653963246
0.377.547427356808840.0907335078463979
0.387.563811303956270.0969814003465791
0.397.581148934516980.104258056863485
0.47.599600458988070.112218159893975
0.417.619271759159970.12048820287626
0.427.640212667833030.128726343886354
0.437.66241996032570.136628325951036
0.447.685844177795180.143957550342201
0.457.710399134314280.150535174601558
0.467.735972842329040.156265921782726
0.477.762438620146090.161100491698961
0.487.789665306438850.165090844514628
0.497.817525775378790.168276679371307
0.57.845903283627770.170766017657081
0.517.87469553592780.172669290288387
0.527.903816670982260.174087035576382
0.537.933197589344940.175102684443657
0.547.962785134200070.175810020041993
0.557.992540589413240.176277508541379
0.568.022437808582970.176545324313245
0.578.052461095876740.176683201453713
0.588.082602799018370.176731785886991
0.598.112860510436950.176725561137755
0.68.143233833241170.176678873404628
0.618.17372083520660.176588766725696
0.628.204314521762350.176410838076625
0.638.234999817852440.176075358601646
0.648.265751574542720.175485502799323
0.658.296533964772970.174561158725335
0.668.327301320842540.173243047546142
0.678.358000074565950.171469501637467
0.688.388571111486210.169254954243494
0.698.418951666577620.166614366218197
0.78.449075950913310.163562946543508
0.718.478874011380620.160132756003875
0.728.508268810443670.156308669272956
0.738.537172033134270.152053837127303
0.748.56547953617820.147285281571551
0.758.593067545222190.141901085164071
0.768.619790656989290.135795099922074
0.778.645482472864870.128880098960972
0.788.669959383228460.121107336252082
0.798.69302772711860.11247347360113
0.88.71449429220110.103039251646919
0.818.73417984191940.0929136981671197
0.828.751934978038260.0822887232725284
0.838.767657142729740.0714057593892018
0.848.781307037091360.06057835992311
0.858.792922399224730.0501573192474934
0.868.802627145444460.0405101560974921
0.878.810634309205160.0319860175331935
0.888.817241615648730.0249044452725307
0.898.822818238333910.0195163747088703
0.98.827779879696720.0160442887129317
0.918.832547486830470.0145724056677951
0.928.837485168491420.0148217924748888
0.938.842819131173440.0160241171896711
0.948.848554383951140.0171160458741434
0.958.854426168038220.0170302640821661
0.968.859934861212190.0150308357873469
0.978.864495421063780.0111294974201346
0.988.867672899925780.00630762548823238
0.998.869395441665890.00217696917151338

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.95252018023373 & 0.0432653472115636 \tabularnewline
0.02 & 6.97299510053736 & 0.0484909763522735 \tabularnewline
0.03 & 6.9967119934146 & 0.0505019847568639 \tabularnewline
0.04 & 7.01988918039019 & 0.048116260976549 \tabularnewline
0.05 & 7.04060460298046 & 0.0435734103720871 \tabularnewline
0.06 & 7.05845060331118 & 0.0396852398754812 \tabularnewline
0.07 & 7.0738882538182 & 0.0380413021675985 \tabularnewline
0.08 & 7.08770400148292 & 0.0387652529156328 \tabularnewline
0.09 & 7.10066449355031 & 0.0411527237442771 \tabularnewline
0.1 & 7.11335360033608 & 0.044399376984655 \tabularnewline
0.11 & 7.12613854219571 & 0.0479028164732431 \tabularnewline
0.12 & 7.13920708856811 & 0.0513278117072261 \tabularnewline
0.13 & 7.15263036494959 & 0.0545451658128553 \tabularnewline
0.14 & 7.16642360402895 & 0.0576220790660898 \tabularnewline
0.15 & 7.18059176970168 & 0.0607398850805734 \tabularnewline
0.16 & 7.19515603768927 & 0.0641115906982365 \tabularnewline
0.17 & 7.21016201438514 & 0.0679129085017411 \tabularnewline
0.18 & 7.22567325092311 & 0.0722183585955119 \tabularnewline
0.19 & 7.24175511691725 & 0.0769383907958325 \tabularnewline
0.2 & 7.25845468585616 & 0.0818726002914408 \tabularnewline
0.21 & 7.27578194897575 & 0.0867126060996176 \tabularnewline
0.22 & 7.29369654146385 & 0.0911253433984002 \tabularnewline
0.23 & 7.31210254762007 & 0.0947686376795978 \tabularnewline
0.24 & 7.33085222903359 & 0.0973625371504753 \tabularnewline
0.25 & 7.3497579972795 & 0.098709085251194 \tabularnewline
0.26 & 7.36861079839236 & 0.0987432180636011 \tabularnewline
0.27 & 7.38720233843504 & 0.0975102092863774 \tabularnewline
0.28 & 7.40534823993168 & 0.095213725683919 \tabularnewline
0.29 & 7.42290924136451 & 0.0921485460555316 \tabularnewline
0.3 & 7.43980789956376 & 0.0887408303456176 \tabularnewline
0.31 & 7.4560388825852 & 0.0854478434171041 \tabularnewline
0.32 & 7.47167177851295 & 0.0827808908975995 \tabularnewline
0.33 & 7.48684629030567 & 0.0811910074830887 \tabularnewline
0.34 & 7.50176061047227 & 0.0810505939550364 \tabularnewline
0.35 & 7.51665454241026 & 0.0825892850925018 \tabularnewline
0.36 & 7.53178945393893 & 0.0858596653963246 \tabularnewline
0.37 & 7.54742735680884 & 0.0907335078463979 \tabularnewline
0.38 & 7.56381130395627 & 0.0969814003465791 \tabularnewline
0.39 & 7.58114893451698 & 0.104258056863485 \tabularnewline
0.4 & 7.59960045898807 & 0.112218159893975 \tabularnewline
0.41 & 7.61927175915997 & 0.12048820287626 \tabularnewline
0.42 & 7.64021266783303 & 0.128726343886354 \tabularnewline
0.43 & 7.6624199603257 & 0.136628325951036 \tabularnewline
0.44 & 7.68584417779518 & 0.143957550342201 \tabularnewline
0.45 & 7.71039913431428 & 0.150535174601558 \tabularnewline
0.46 & 7.73597284232904 & 0.156265921782726 \tabularnewline
0.47 & 7.76243862014609 & 0.161100491698961 \tabularnewline
0.48 & 7.78966530643885 & 0.165090844514628 \tabularnewline
0.49 & 7.81752577537879 & 0.168276679371307 \tabularnewline
0.5 & 7.84590328362777 & 0.170766017657081 \tabularnewline
0.51 & 7.8746955359278 & 0.172669290288387 \tabularnewline
0.52 & 7.90381667098226 & 0.174087035576382 \tabularnewline
0.53 & 7.93319758934494 & 0.175102684443657 \tabularnewline
0.54 & 7.96278513420007 & 0.175810020041993 \tabularnewline
0.55 & 7.99254058941324 & 0.176277508541379 \tabularnewline
0.56 & 8.02243780858297 & 0.176545324313245 \tabularnewline
0.57 & 8.05246109587674 & 0.176683201453713 \tabularnewline
0.58 & 8.08260279901837 & 0.176731785886991 \tabularnewline
0.59 & 8.11286051043695 & 0.176725561137755 \tabularnewline
0.6 & 8.14323383324117 & 0.176678873404628 \tabularnewline
0.61 & 8.1737208352066 & 0.176588766725696 \tabularnewline
0.62 & 8.20431452176235 & 0.176410838076625 \tabularnewline
0.63 & 8.23499981785244 & 0.176075358601646 \tabularnewline
0.64 & 8.26575157454272 & 0.175485502799323 \tabularnewline
0.65 & 8.29653396477297 & 0.174561158725335 \tabularnewline
0.66 & 8.32730132084254 & 0.173243047546142 \tabularnewline
0.67 & 8.35800007456595 & 0.171469501637467 \tabularnewline
0.68 & 8.38857111148621 & 0.169254954243494 \tabularnewline
0.69 & 8.41895166657762 & 0.166614366218197 \tabularnewline
0.7 & 8.44907595091331 & 0.163562946543508 \tabularnewline
0.71 & 8.47887401138062 & 0.160132756003875 \tabularnewline
0.72 & 8.50826881044367 & 0.156308669272956 \tabularnewline
0.73 & 8.53717203313427 & 0.152053837127303 \tabularnewline
0.74 & 8.5654795361782 & 0.147285281571551 \tabularnewline
0.75 & 8.59306754522219 & 0.141901085164071 \tabularnewline
0.76 & 8.61979065698929 & 0.135795099922074 \tabularnewline
0.77 & 8.64548247286487 & 0.128880098960972 \tabularnewline
0.78 & 8.66995938322846 & 0.121107336252082 \tabularnewline
0.79 & 8.6930277271186 & 0.11247347360113 \tabularnewline
0.8 & 8.7144942922011 & 0.103039251646919 \tabularnewline
0.81 & 8.7341798419194 & 0.0929136981671197 \tabularnewline
0.82 & 8.75193497803826 & 0.0822887232725284 \tabularnewline
0.83 & 8.76765714272974 & 0.0714057593892018 \tabularnewline
0.84 & 8.78130703709136 & 0.06057835992311 \tabularnewline
0.85 & 8.79292239922473 & 0.0501573192474934 \tabularnewline
0.86 & 8.80262714544446 & 0.0405101560974921 \tabularnewline
0.87 & 8.81063430920516 & 0.0319860175331935 \tabularnewline
0.88 & 8.81724161564873 & 0.0249044452725307 \tabularnewline
0.89 & 8.82281823833391 & 0.0195163747088703 \tabularnewline
0.9 & 8.82777987969672 & 0.0160442887129317 \tabularnewline
0.91 & 8.83254748683047 & 0.0145724056677951 \tabularnewline
0.92 & 8.83748516849142 & 0.0148217924748888 \tabularnewline
0.93 & 8.84281913117344 & 0.0160241171896711 \tabularnewline
0.94 & 8.84855438395114 & 0.0171160458741434 \tabularnewline
0.95 & 8.85442616803822 & 0.0170302640821661 \tabularnewline
0.96 & 8.85993486121219 & 0.0150308357873469 \tabularnewline
0.97 & 8.86449542106378 & 0.0111294974201346 \tabularnewline
0.98 & 8.86767289992578 & 0.00630762548823238 \tabularnewline
0.99 & 8.86939544166589 & 0.00217696917151338 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163150&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]6.95252018023373[/C][C]0.0432653472115636[/C][/ROW]
[ROW][C]0.02[/C][C]6.97299510053736[/C][C]0.0484909763522735[/C][/ROW]
[ROW][C]0.03[/C][C]6.9967119934146[/C][C]0.0505019847568639[/C][/ROW]
[ROW][C]0.04[/C][C]7.01988918039019[/C][C]0.048116260976549[/C][/ROW]
[ROW][C]0.05[/C][C]7.04060460298046[/C][C]0.0435734103720871[/C][/ROW]
[ROW][C]0.06[/C][C]7.05845060331118[/C][C]0.0396852398754812[/C][/ROW]
[ROW][C]0.07[/C][C]7.0738882538182[/C][C]0.0380413021675985[/C][/ROW]
[ROW][C]0.08[/C][C]7.08770400148292[/C][C]0.0387652529156328[/C][/ROW]
[ROW][C]0.09[/C][C]7.10066449355031[/C][C]0.0411527237442771[/C][/ROW]
[ROW][C]0.1[/C][C]7.11335360033608[/C][C]0.044399376984655[/C][/ROW]
[ROW][C]0.11[/C][C]7.12613854219571[/C][C]0.0479028164732431[/C][/ROW]
[ROW][C]0.12[/C][C]7.13920708856811[/C][C]0.0513278117072261[/C][/ROW]
[ROW][C]0.13[/C][C]7.15263036494959[/C][C]0.0545451658128553[/C][/ROW]
[ROW][C]0.14[/C][C]7.16642360402895[/C][C]0.0576220790660898[/C][/ROW]
[ROW][C]0.15[/C][C]7.18059176970168[/C][C]0.0607398850805734[/C][/ROW]
[ROW][C]0.16[/C][C]7.19515603768927[/C][C]0.0641115906982365[/C][/ROW]
[ROW][C]0.17[/C][C]7.21016201438514[/C][C]0.0679129085017411[/C][/ROW]
[ROW][C]0.18[/C][C]7.22567325092311[/C][C]0.0722183585955119[/C][/ROW]
[ROW][C]0.19[/C][C]7.24175511691725[/C][C]0.0769383907958325[/C][/ROW]
[ROW][C]0.2[/C][C]7.25845468585616[/C][C]0.0818726002914408[/C][/ROW]
[ROW][C]0.21[/C][C]7.27578194897575[/C][C]0.0867126060996176[/C][/ROW]
[ROW][C]0.22[/C][C]7.29369654146385[/C][C]0.0911253433984002[/C][/ROW]
[ROW][C]0.23[/C][C]7.31210254762007[/C][C]0.0947686376795978[/C][/ROW]
[ROW][C]0.24[/C][C]7.33085222903359[/C][C]0.0973625371504753[/C][/ROW]
[ROW][C]0.25[/C][C]7.3497579972795[/C][C]0.098709085251194[/C][/ROW]
[ROW][C]0.26[/C][C]7.36861079839236[/C][C]0.0987432180636011[/C][/ROW]
[ROW][C]0.27[/C][C]7.38720233843504[/C][C]0.0975102092863774[/C][/ROW]
[ROW][C]0.28[/C][C]7.40534823993168[/C][C]0.095213725683919[/C][/ROW]
[ROW][C]0.29[/C][C]7.42290924136451[/C][C]0.0921485460555316[/C][/ROW]
[ROW][C]0.3[/C][C]7.43980789956376[/C][C]0.0887408303456176[/C][/ROW]
[ROW][C]0.31[/C][C]7.4560388825852[/C][C]0.0854478434171041[/C][/ROW]
[ROW][C]0.32[/C][C]7.47167177851295[/C][C]0.0827808908975995[/C][/ROW]
[ROW][C]0.33[/C][C]7.48684629030567[/C][C]0.0811910074830887[/C][/ROW]
[ROW][C]0.34[/C][C]7.50176061047227[/C][C]0.0810505939550364[/C][/ROW]
[ROW][C]0.35[/C][C]7.51665454241026[/C][C]0.0825892850925018[/C][/ROW]
[ROW][C]0.36[/C][C]7.53178945393893[/C][C]0.0858596653963246[/C][/ROW]
[ROW][C]0.37[/C][C]7.54742735680884[/C][C]0.0907335078463979[/C][/ROW]
[ROW][C]0.38[/C][C]7.56381130395627[/C][C]0.0969814003465791[/C][/ROW]
[ROW][C]0.39[/C][C]7.58114893451698[/C][C]0.104258056863485[/C][/ROW]
[ROW][C]0.4[/C][C]7.59960045898807[/C][C]0.112218159893975[/C][/ROW]
[ROW][C]0.41[/C][C]7.61927175915997[/C][C]0.12048820287626[/C][/ROW]
[ROW][C]0.42[/C][C]7.64021266783303[/C][C]0.128726343886354[/C][/ROW]
[ROW][C]0.43[/C][C]7.6624199603257[/C][C]0.136628325951036[/C][/ROW]
[ROW][C]0.44[/C][C]7.68584417779518[/C][C]0.143957550342201[/C][/ROW]
[ROW][C]0.45[/C][C]7.71039913431428[/C][C]0.150535174601558[/C][/ROW]
[ROW][C]0.46[/C][C]7.73597284232904[/C][C]0.156265921782726[/C][/ROW]
[ROW][C]0.47[/C][C]7.76243862014609[/C][C]0.161100491698961[/C][/ROW]
[ROW][C]0.48[/C][C]7.78966530643885[/C][C]0.165090844514628[/C][/ROW]
[ROW][C]0.49[/C][C]7.81752577537879[/C][C]0.168276679371307[/C][/ROW]
[ROW][C]0.5[/C][C]7.84590328362777[/C][C]0.170766017657081[/C][/ROW]
[ROW][C]0.51[/C][C]7.8746955359278[/C][C]0.172669290288387[/C][/ROW]
[ROW][C]0.52[/C][C]7.90381667098226[/C][C]0.174087035576382[/C][/ROW]
[ROW][C]0.53[/C][C]7.93319758934494[/C][C]0.175102684443657[/C][/ROW]
[ROW][C]0.54[/C][C]7.96278513420007[/C][C]0.175810020041993[/C][/ROW]
[ROW][C]0.55[/C][C]7.99254058941324[/C][C]0.176277508541379[/C][/ROW]
[ROW][C]0.56[/C][C]8.02243780858297[/C][C]0.176545324313245[/C][/ROW]
[ROW][C]0.57[/C][C]8.05246109587674[/C][C]0.176683201453713[/C][/ROW]
[ROW][C]0.58[/C][C]8.08260279901837[/C][C]0.176731785886991[/C][/ROW]
[ROW][C]0.59[/C][C]8.11286051043695[/C][C]0.176725561137755[/C][/ROW]
[ROW][C]0.6[/C][C]8.14323383324117[/C][C]0.176678873404628[/C][/ROW]
[ROW][C]0.61[/C][C]8.1737208352066[/C][C]0.176588766725696[/C][/ROW]
[ROW][C]0.62[/C][C]8.20431452176235[/C][C]0.176410838076625[/C][/ROW]
[ROW][C]0.63[/C][C]8.23499981785244[/C][C]0.176075358601646[/C][/ROW]
[ROW][C]0.64[/C][C]8.26575157454272[/C][C]0.175485502799323[/C][/ROW]
[ROW][C]0.65[/C][C]8.29653396477297[/C][C]0.174561158725335[/C][/ROW]
[ROW][C]0.66[/C][C]8.32730132084254[/C][C]0.173243047546142[/C][/ROW]
[ROW][C]0.67[/C][C]8.35800007456595[/C][C]0.171469501637467[/C][/ROW]
[ROW][C]0.68[/C][C]8.38857111148621[/C][C]0.169254954243494[/C][/ROW]
[ROW][C]0.69[/C][C]8.41895166657762[/C][C]0.166614366218197[/C][/ROW]
[ROW][C]0.7[/C][C]8.44907595091331[/C][C]0.163562946543508[/C][/ROW]
[ROW][C]0.71[/C][C]8.47887401138062[/C][C]0.160132756003875[/C][/ROW]
[ROW][C]0.72[/C][C]8.50826881044367[/C][C]0.156308669272956[/C][/ROW]
[ROW][C]0.73[/C][C]8.53717203313427[/C][C]0.152053837127303[/C][/ROW]
[ROW][C]0.74[/C][C]8.5654795361782[/C][C]0.147285281571551[/C][/ROW]
[ROW][C]0.75[/C][C]8.59306754522219[/C][C]0.141901085164071[/C][/ROW]
[ROW][C]0.76[/C][C]8.61979065698929[/C][C]0.135795099922074[/C][/ROW]
[ROW][C]0.77[/C][C]8.64548247286487[/C][C]0.128880098960972[/C][/ROW]
[ROW][C]0.78[/C][C]8.66995938322846[/C][C]0.121107336252082[/C][/ROW]
[ROW][C]0.79[/C][C]8.6930277271186[/C][C]0.11247347360113[/C][/ROW]
[ROW][C]0.8[/C][C]8.7144942922011[/C][C]0.103039251646919[/C][/ROW]
[ROW][C]0.81[/C][C]8.7341798419194[/C][C]0.0929136981671197[/C][/ROW]
[ROW][C]0.82[/C][C]8.75193497803826[/C][C]0.0822887232725284[/C][/ROW]
[ROW][C]0.83[/C][C]8.76765714272974[/C][C]0.0714057593892018[/C][/ROW]
[ROW][C]0.84[/C][C]8.78130703709136[/C][C]0.06057835992311[/C][/ROW]
[ROW][C]0.85[/C][C]8.79292239922473[/C][C]0.0501573192474934[/C][/ROW]
[ROW][C]0.86[/C][C]8.80262714544446[/C][C]0.0405101560974921[/C][/ROW]
[ROW][C]0.87[/C][C]8.81063430920516[/C][C]0.0319860175331935[/C][/ROW]
[ROW][C]0.88[/C][C]8.81724161564873[/C][C]0.0249044452725307[/C][/ROW]
[ROW][C]0.89[/C][C]8.82281823833391[/C][C]0.0195163747088703[/C][/ROW]
[ROW][C]0.9[/C][C]8.82777987969672[/C][C]0.0160442887129317[/C][/ROW]
[ROW][C]0.91[/C][C]8.83254748683047[/C][C]0.0145724056677951[/C][/ROW]
[ROW][C]0.92[/C][C]8.83748516849142[/C][C]0.0148217924748888[/C][/ROW]
[ROW][C]0.93[/C][C]8.84281913117344[/C][C]0.0160241171896711[/C][/ROW]
[ROW][C]0.94[/C][C]8.84855438395114[/C][C]0.0171160458741434[/C][/ROW]
[ROW][C]0.95[/C][C]8.85442616803822[/C][C]0.0170302640821661[/C][/ROW]
[ROW][C]0.96[/C][C]8.85993486121219[/C][C]0.0150308357873469[/C][/ROW]
[ROW][C]0.97[/C][C]8.86449542106378[/C][C]0.0111294974201346[/C][/ROW]
[ROW][C]0.98[/C][C]8.86767289992578[/C][C]0.00630762548823238[/C][/ROW]
[ROW][C]0.99[/C][C]8.86939544166589[/C][C]0.00217696917151338[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163150&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163150&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
0.016.952520180233730.0432653472115636
0.026.972995100537360.0484909763522735
0.036.99671199341460.0505019847568639
0.047.019889180390190.048116260976549
0.057.040604602980460.0435734103720871
0.067.058450603311180.0396852398754812
0.077.07388825381820.0380413021675985
0.087.087704001482920.0387652529156328
0.097.100664493550310.0411527237442771
0.17.113353600336080.044399376984655
0.117.126138542195710.0479028164732431
0.127.139207088568110.0513278117072261
0.137.152630364949590.0545451658128553
0.147.166423604028950.0576220790660898
0.157.180591769701680.0607398850805734
0.167.195156037689270.0641115906982365
0.177.210162014385140.0679129085017411
0.187.225673250923110.0722183585955119
0.197.241755116917250.0769383907958325
0.27.258454685856160.0818726002914408
0.217.275781948975750.0867126060996176
0.227.293696541463850.0911253433984002
0.237.312102547620070.0947686376795978
0.247.330852229033590.0973625371504753
0.257.34975799727950.098709085251194
0.267.368610798392360.0987432180636011
0.277.387202338435040.0975102092863774
0.287.405348239931680.095213725683919
0.297.422909241364510.0921485460555316
0.37.439807899563760.0887408303456176
0.317.45603888258520.0854478434171041
0.327.471671778512950.0827808908975995
0.337.486846290305670.0811910074830887
0.347.501760610472270.0810505939550364
0.357.516654542410260.0825892850925018
0.367.531789453938930.0858596653963246
0.377.547427356808840.0907335078463979
0.387.563811303956270.0969814003465791
0.397.581148934516980.104258056863485
0.47.599600458988070.112218159893975
0.417.619271759159970.12048820287626
0.427.640212667833030.128726343886354
0.437.66241996032570.136628325951036
0.447.685844177795180.143957550342201
0.457.710399134314280.150535174601558
0.467.735972842329040.156265921782726
0.477.762438620146090.161100491698961
0.487.789665306438850.165090844514628
0.497.817525775378790.168276679371307
0.57.845903283627770.170766017657081
0.517.87469553592780.172669290288387
0.527.903816670982260.174087035576382
0.537.933197589344940.175102684443657
0.547.962785134200070.175810020041993
0.557.992540589413240.176277508541379
0.568.022437808582970.176545324313245
0.578.052461095876740.176683201453713
0.588.082602799018370.176731785886991
0.598.112860510436950.176725561137755
0.68.143233833241170.176678873404628
0.618.17372083520660.176588766725696
0.628.204314521762350.176410838076625
0.638.234999817852440.176075358601646
0.648.265751574542720.175485502799323
0.658.296533964772970.174561158725335
0.668.327301320842540.173243047546142
0.678.358000074565950.171469501637467
0.688.388571111486210.169254954243494
0.698.418951666577620.166614366218197
0.78.449075950913310.163562946543508
0.718.478874011380620.160132756003875
0.728.508268810443670.156308669272956
0.738.537172033134270.152053837127303
0.748.56547953617820.147285281571551
0.758.593067545222190.141901085164071
0.768.619790656989290.135795099922074
0.778.645482472864870.128880098960972
0.788.669959383228460.121107336252082
0.798.69302772711860.11247347360113
0.88.71449429220110.103039251646919
0.818.73417984191940.0929136981671197
0.828.751934978038260.0822887232725284
0.838.767657142729740.0714057593892018
0.848.781307037091360.06057835992311
0.858.792922399224730.0501573192474934
0.868.802627145444460.0405101560974921
0.878.810634309205160.0319860175331935
0.888.817241615648730.0249044452725307
0.898.822818238333910.0195163747088703
0.98.827779879696720.0160442887129317
0.918.832547486830470.0145724056677951
0.928.837485168491420.0148217924748888
0.938.842819131173440.0160241171896711
0.948.848554383951140.0171160458741434
0.958.854426168038220.0170302640821661
0.968.859934861212190.0150308357873469
0.978.864495421063780.0111294974201346
0.988.867672899925780.00630762548823238
0.998.869395441665890.00217696917151338


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')