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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 30 Oct 2008 11:32:24 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/30/t1225388028rp9ecjef50ajgzk.htm/, Retrieved Tue, 28 May 2024 23:17:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20132, Retrieved Tue, 28 May 2024 23:17:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact167

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q5 Distributions] [2007-10-22 09:17:45] [b731da8b544846036771bbf9bf2f34ce]
F   PD  [Harrell-Davis Quantiles] [Q5] [2008-10-27 16:54:35] [491a70d26f8c977398d8a0c1c87d3dd4]
- R         [Harrell-Davis Quantiles] [Q5] [2008-10-30 17:32:24] [2ba2a74112fb2c960057a572bf2825d3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.989130435
0.919087137
0.925417076
0.925612053
1.066666667
0.851108765
1.030693069
0.989031079
0.913000978
0.792723264
0.978170478
0.987513007
0.909433962
0.883608147
0.82745098
0.8252149
1.023255814
0.815418024
1.026192703
0.914742451
0.807276303
0.739130435
0.98973306
0.972164948
0.853889943
0.856864654
0.775739042
0.789473684
0.931350114
0.73971079
0.885245902
0.842435094
0.818458418
0.72755418
0.923238696
0.922680412
0.883762201
0.818270165
0.771047228
0.825852783
0.924485126
0.755165289
0.874671341
0.815956482
0.799807507
0.712598425
0.832980973
0.910323253
0.869149952
0.779182879
0.750254842
0.75856014
0.920889988
0.743991641
0.816254417
0.769593957
0.784007353
0.683284457
0.850505051
0.900695134
0.868398268

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20132&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20132&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20132&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.1717426081180480.0257493850471461
0.02-0.1614149615197330.0217346616960918
0.03-0.1508964287440930.0181409091026361
0.04-0.1418611060415110.0152702001099009
0.05-0.1346592090127430.0130169659833955
0.06-0.1290001690692160.0113752572286579
0.07-0.1244407549774750.0104104241444573
0.08-0.1205873519724500.0100957496596707
0.09-0.1171449488103900.0102702442075689
0.1-0.1139136618441830.0107189765436474
0.11-0.1107721801098670.0112602326040067
0.12-0.1076582852139540.0117757383011181
0.13-0.104549457926310.0122046975948246
0.14-0.1014457909399100.0125298376011880
0.15-0.09835678508282460.0127637818323555
0.16-0.09529254096371780.0129376076865657
0.17-0.0922589807808890.0130894294044622
0.18-0.08925629494449990.0132545603840900
0.19-0.08627969438917590.0134563387948096
0.2-0.08332158324415130.0137009630624050
0.21-0.08037434797286040.0139763470324549
0.22-0.07743306768914110.0142551093637362
0.23-0.07449759555741520.0145007769590113
0.24-0.07157364524127450.0146745098045426
0.25-0.06867272408544040.0147424134410856
0.26-0.06581096004557680.0146809492407807
0.27-0.06300704549994140.0144814460664433
0.28-0.06027964703652260.0141516128247276
0.29-0.05764469358233090.0137163685095777
0.3-0.05511295221685870.0132144925733303
0.31-0.05268823695415160.0126952357933221
0.32-0.05036648431754410.0122127091144110
0.33-0.04813579095614450.0118195156461004
0.34-0.04597736649425610.0115603782078646
0.35-0.04386723181876310.0114657085305067
0.36-0.04177840629030730.0115479772029802
0.37-0.03968328593125030.0118007619380384
0.38-0.03755591874463520.0122014223581903
0.39-0.03537392593656030.0127159022425618
0.4-0.03311988744551040.0133045698239018
0.41-0.03078209379529760.0139269953779325
0.42-0.02835465161237390.0145463043842993
0.43-0.02583700695295070.0151321482958060
0.44-0.02323301113523420.0156625203097129
0.45-0.02054969290430540.0161248196573554
0.46-0.0177959159764660.0165153935815512
0.47-0.01498109271298950.0168383815471283
0.48-0.01211409630024540.0171037139338906
0.49-0.009202471566424870.0173245536001671
0.5-0.006251996432932560.0175148270228644
0.51-0.003266600124918370.0176870268587813
0.52-0.0002486070677501470.0178505010819893
0.530.002800749936249980.0180103532468407
0.540.005880617680916050.0181668123288826
0.550.008989688372360460.0183149841525150
0.560.01212532317602530.0184448006054200
0.570.01528271706946940.0185413111623281
0.580.01845419336175580.0185853697139708
0.590.02162871921454190.0185550035116932
0.60.02479172929117340.0184273412145861
0.610.02792532785615780.0181812379568481
0.620.03100890772173030.0178001711315009
0.630.03402018000468700.0172751439088510
0.640.03693655997453360.0166066331508818
0.650.03973681345112000.0158060797919318
0.660.04240284735113450.0148957739402070
0.670.04492153433412950.0139082317725027
0.680.04728649316844940.0128844234565673
0.690.04949979034840990.0118727546151122
0.70.05157356181050450.0109279103224103
0.710.05353154909248490.0101118149128267
0.720.05541047915575170.00949556496262056
0.730.05726108374056260.0091609828222776
0.740.05914837034390920.0091968310424795
0.750.06115057215484430.00968444582440818
0.760.06335609791711330.0106741661210855
0.770.06585787055033470.0121648550462299
0.780.0687447709686250.0140951671807822
0.790.07209052869732950.0163422988233027
0.80.075941274605260.0187253191522520
0.810.0803039313546630.0210153142281657
0.820.08513839198274750.0229579763726037
0.830.0903566868964890.0243103224327445
0.840.09583173821293880.0248864151280423
0.850.1014166390971030.0246046718955880
0.860.1069726942130630.0235246128384454
0.870.1124010746810460.0218629377389466
0.880.1176696920143230.0199805278752458
0.890.1228251559573410.0183299237276356
0.90.1279813691878550.0173303740084524
0.910.1332834787765280.0171532943922519
0.920.1388595086179760.0175491206213019
0.930.1447893705003130.0179385184473371
0.940.1511316507476920.0177539535227391
0.950.1580298267105090.0168767171604431
0.960.1658392430930770.0161209587415159
0.970.1750674307686950.0174323846618439
0.980.1858208467484530.0223196251371699
0.990.1967530332660040.0295050225456977

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.171742608118048 & 0.0257493850471461 \tabularnewline
0.02 & -0.161414961519733 & 0.0217346616960918 \tabularnewline
0.03 & -0.150896428744093 & 0.0181409091026361 \tabularnewline
0.04 & -0.141861106041511 & 0.0152702001099009 \tabularnewline
0.05 & -0.134659209012743 & 0.0130169659833955 \tabularnewline
0.06 & -0.129000169069216 & 0.0113752572286579 \tabularnewline
0.07 & -0.124440754977475 & 0.0104104241444573 \tabularnewline
0.08 & -0.120587351972450 & 0.0100957496596707 \tabularnewline
0.09 & -0.117144948810390 & 0.0102702442075689 \tabularnewline
0.1 & -0.113913661844183 & 0.0107189765436474 \tabularnewline
0.11 & -0.110772180109867 & 0.0112602326040067 \tabularnewline
0.12 & -0.107658285213954 & 0.0117757383011181 \tabularnewline
0.13 & -0.10454945792631 & 0.0122046975948246 \tabularnewline
0.14 & -0.101445790939910 & 0.0125298376011880 \tabularnewline
0.15 & -0.0983567850828246 & 0.0127637818323555 \tabularnewline
0.16 & -0.0952925409637178 & 0.0129376076865657 \tabularnewline
0.17 & -0.092258980780889 & 0.0130894294044622 \tabularnewline
0.18 & -0.0892562949444999 & 0.0132545603840900 \tabularnewline
0.19 & -0.0862796943891759 & 0.0134563387948096 \tabularnewline
0.2 & -0.0833215832441513 & 0.0137009630624050 \tabularnewline
0.21 & -0.0803743479728604 & 0.0139763470324549 \tabularnewline
0.22 & -0.0774330676891411 & 0.0142551093637362 \tabularnewline
0.23 & -0.0744975955574152 & 0.0145007769590113 \tabularnewline
0.24 & -0.0715736452412745 & 0.0146745098045426 \tabularnewline
0.25 & -0.0686727240854404 & 0.0147424134410856 \tabularnewline
0.26 & -0.0658109600455768 & 0.0146809492407807 \tabularnewline
0.27 & -0.0630070454999414 & 0.0144814460664433 \tabularnewline
0.28 & -0.0602796470365226 & 0.0141516128247276 \tabularnewline
0.29 & -0.0576446935823309 & 0.0137163685095777 \tabularnewline
0.3 & -0.0551129522168587 & 0.0132144925733303 \tabularnewline
0.31 & -0.0526882369541516 & 0.0126952357933221 \tabularnewline
0.32 & -0.0503664843175441 & 0.0122127091144110 \tabularnewline
0.33 & -0.0481357909561445 & 0.0118195156461004 \tabularnewline
0.34 & -0.0459773664942561 & 0.0115603782078646 \tabularnewline
0.35 & -0.0438672318187631 & 0.0114657085305067 \tabularnewline
0.36 & -0.0417784062903073 & 0.0115479772029802 \tabularnewline
0.37 & -0.0396832859312503 & 0.0118007619380384 \tabularnewline
0.38 & -0.0375559187446352 & 0.0122014223581903 \tabularnewline
0.39 & -0.0353739259365603 & 0.0127159022425618 \tabularnewline
0.4 & -0.0331198874455104 & 0.0133045698239018 \tabularnewline
0.41 & -0.0307820937952976 & 0.0139269953779325 \tabularnewline
0.42 & -0.0283546516123739 & 0.0145463043842993 \tabularnewline
0.43 & -0.0258370069529507 & 0.0151321482958060 \tabularnewline
0.44 & -0.0232330111352342 & 0.0156625203097129 \tabularnewline
0.45 & -0.0205496929043054 & 0.0161248196573554 \tabularnewline
0.46 & -0.017795915976466 & 0.0165153935815512 \tabularnewline
0.47 & -0.0149810927129895 & 0.0168383815471283 \tabularnewline
0.48 & -0.0121140963002454 & 0.0171037139338906 \tabularnewline
0.49 & -0.00920247156642487 & 0.0173245536001671 \tabularnewline
0.5 & -0.00625199643293256 & 0.0175148270228644 \tabularnewline
0.51 & -0.00326660012491837 & 0.0176870268587813 \tabularnewline
0.52 & -0.000248607067750147 & 0.0178505010819893 \tabularnewline
0.53 & 0.00280074993624998 & 0.0180103532468407 \tabularnewline
0.54 & 0.00588061768091605 & 0.0181668123288826 \tabularnewline
0.55 & 0.00898968837236046 & 0.0183149841525150 \tabularnewline
0.56 & 0.0121253231760253 & 0.0184448006054200 \tabularnewline
0.57 & 0.0152827170694694 & 0.0185413111623281 \tabularnewline
0.58 & 0.0184541933617558 & 0.0185853697139708 \tabularnewline
0.59 & 0.0216287192145419 & 0.0185550035116932 \tabularnewline
0.6 & 0.0247917292911734 & 0.0184273412145861 \tabularnewline
0.61 & 0.0279253278561578 & 0.0181812379568481 \tabularnewline
0.62 & 0.0310089077217303 & 0.0178001711315009 \tabularnewline
0.63 & 0.0340201800046870 & 0.0172751439088510 \tabularnewline
0.64 & 0.0369365599745336 & 0.0166066331508818 \tabularnewline
0.65 & 0.0397368134511200 & 0.0158060797919318 \tabularnewline
0.66 & 0.0424028473511345 & 0.0148957739402070 \tabularnewline
0.67 & 0.0449215343341295 & 0.0139082317725027 \tabularnewline
0.68 & 0.0472864931684494 & 0.0128844234565673 \tabularnewline
0.69 & 0.0494997903484099 & 0.0118727546151122 \tabularnewline
0.7 & 0.0515735618105045 & 0.0109279103224103 \tabularnewline
0.71 & 0.0535315490924849 & 0.0101118149128267 \tabularnewline
0.72 & 0.0554104791557517 & 0.00949556496262056 \tabularnewline
0.73 & 0.0572610837405626 & 0.0091609828222776 \tabularnewline
0.74 & 0.0591483703439092 & 0.0091968310424795 \tabularnewline
0.75 & 0.0611505721548443 & 0.00968444582440818 \tabularnewline
0.76 & 0.0633560979171133 & 0.0106741661210855 \tabularnewline
0.77 & 0.0658578705503347 & 0.0121648550462299 \tabularnewline
0.78 & 0.068744770968625 & 0.0140951671807822 \tabularnewline
0.79 & 0.0720905286973295 & 0.0163422988233027 \tabularnewline
0.8 & 0.07594127460526 & 0.0187253191522520 \tabularnewline
0.81 & 0.080303931354663 & 0.0210153142281657 \tabularnewline
0.82 & 0.0851383919827475 & 0.0229579763726037 \tabularnewline
0.83 & 0.090356686896489 & 0.0243103224327445 \tabularnewline
0.84 & 0.0958317382129388 & 0.0248864151280423 \tabularnewline
0.85 & 0.101416639097103 & 0.0246046718955880 \tabularnewline
0.86 & 0.106972694213063 & 0.0235246128384454 \tabularnewline
0.87 & 0.112401074681046 & 0.0218629377389466 \tabularnewline
0.88 & 0.117669692014323 & 0.0199805278752458 \tabularnewline
0.89 & 0.122825155957341 & 0.0183299237276356 \tabularnewline
0.9 & 0.127981369187855 & 0.0173303740084524 \tabularnewline
0.91 & 0.133283478776528 & 0.0171532943922519 \tabularnewline
0.92 & 0.138859508617976 & 0.0175491206213019 \tabularnewline
0.93 & 0.144789370500313 & 0.0179385184473371 \tabularnewline
0.94 & 0.151131650747692 & 0.0177539535227391 \tabularnewline
0.95 & 0.158029826710509 & 0.0168767171604431 \tabularnewline
0.96 & 0.165839243093077 & 0.0161209587415159 \tabularnewline
0.97 & 0.175067430768695 & 0.0174323846618439 \tabularnewline
0.98 & 0.185820846748453 & 0.0223196251371699 \tabularnewline
0.99 & 0.196753033266004 & 0.0295050225456977 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20132&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]-0.171742608118048[/C][C]0.0257493850471461[/C][/ROW]
[ROW][C]0.02[/C][C]-0.161414961519733[/C][C]0.0217346616960918[/C][/ROW]
[ROW][C]0.03[/C][C]-0.150896428744093[/C][C]0.0181409091026361[/C][/ROW]
[ROW][C]0.04[/C][C]-0.141861106041511[/C][C]0.0152702001099009[/C][/ROW]
[ROW][C]0.05[/C][C]-0.134659209012743[/C][C]0.0130169659833955[/C][/ROW]
[ROW][C]0.06[/C][C]-0.129000169069216[/C][C]0.0113752572286579[/C][/ROW]
[ROW][C]0.07[/C][C]-0.124440754977475[/C][C]0.0104104241444573[/C][/ROW]
[ROW][C]0.08[/C][C]-0.120587351972450[/C][C]0.0100957496596707[/C][/ROW]
[ROW][C]0.09[/C][C]-0.117144948810390[/C][C]0.0102702442075689[/C][/ROW]
[ROW][C]0.1[/C][C]-0.113913661844183[/C][C]0.0107189765436474[/C][/ROW]
[ROW][C]0.11[/C][C]-0.110772180109867[/C][C]0.0112602326040067[/C][/ROW]
[ROW][C]0.12[/C][C]-0.107658285213954[/C][C]0.0117757383011181[/C][/ROW]
[ROW][C]0.13[/C][C]-0.10454945792631[/C][C]0.0122046975948246[/C][/ROW]
[ROW][C]0.14[/C][C]-0.101445790939910[/C][C]0.0125298376011880[/C][/ROW]
[ROW][C]0.15[/C][C]-0.0983567850828246[/C][C]0.0127637818323555[/C][/ROW]
[ROW][C]0.16[/C][C]-0.0952925409637178[/C][C]0.0129376076865657[/C][/ROW]
[ROW][C]0.17[/C][C]-0.092258980780889[/C][C]0.0130894294044622[/C][/ROW]
[ROW][C]0.18[/C][C]-0.0892562949444999[/C][C]0.0132545603840900[/C][/ROW]
[ROW][C]0.19[/C][C]-0.0862796943891759[/C][C]0.0134563387948096[/C][/ROW]
[ROW][C]0.2[/C][C]-0.0833215832441513[/C][C]0.0137009630624050[/C][/ROW]
[ROW][C]0.21[/C][C]-0.0803743479728604[/C][C]0.0139763470324549[/C][/ROW]
[ROW][C]0.22[/C][C]-0.0774330676891411[/C][C]0.0142551093637362[/C][/ROW]
[ROW][C]0.23[/C][C]-0.0744975955574152[/C][C]0.0145007769590113[/C][/ROW]
[ROW][C]0.24[/C][C]-0.0715736452412745[/C][C]0.0146745098045426[/C][/ROW]
[ROW][C]0.25[/C][C]-0.0686727240854404[/C][C]0.0147424134410856[/C][/ROW]
[ROW][C]0.26[/C][C]-0.0658109600455768[/C][C]0.0146809492407807[/C][/ROW]
[ROW][C]0.27[/C][C]-0.0630070454999414[/C][C]0.0144814460664433[/C][/ROW]
[ROW][C]0.28[/C][C]-0.0602796470365226[/C][C]0.0141516128247276[/C][/ROW]
[ROW][C]0.29[/C][C]-0.0576446935823309[/C][C]0.0137163685095777[/C][/ROW]
[ROW][C]0.3[/C][C]-0.0551129522168587[/C][C]0.0132144925733303[/C][/ROW]
[ROW][C]0.31[/C][C]-0.0526882369541516[/C][C]0.0126952357933221[/C][/ROW]
[ROW][C]0.32[/C][C]-0.0503664843175441[/C][C]0.0122127091144110[/C][/ROW]
[ROW][C]0.33[/C][C]-0.0481357909561445[/C][C]0.0118195156461004[/C][/ROW]
[ROW][C]0.34[/C][C]-0.0459773664942561[/C][C]0.0115603782078646[/C][/ROW]
[ROW][C]0.35[/C][C]-0.0438672318187631[/C][C]0.0114657085305067[/C][/ROW]
[ROW][C]0.36[/C][C]-0.0417784062903073[/C][C]0.0115479772029802[/C][/ROW]
[ROW][C]0.37[/C][C]-0.0396832859312503[/C][C]0.0118007619380384[/C][/ROW]
[ROW][C]0.38[/C][C]-0.0375559187446352[/C][C]0.0122014223581903[/C][/ROW]
[ROW][C]0.39[/C][C]-0.0353739259365603[/C][C]0.0127159022425618[/C][/ROW]
[ROW][C]0.4[/C][C]-0.0331198874455104[/C][C]0.0133045698239018[/C][/ROW]
[ROW][C]0.41[/C][C]-0.0307820937952976[/C][C]0.0139269953779325[/C][/ROW]
[ROW][C]0.42[/C][C]-0.0283546516123739[/C][C]0.0145463043842993[/C][/ROW]
[ROW][C]0.43[/C][C]-0.0258370069529507[/C][C]0.0151321482958060[/C][/ROW]
[ROW][C]0.44[/C][C]-0.0232330111352342[/C][C]0.0156625203097129[/C][/ROW]
[ROW][C]0.45[/C][C]-0.0205496929043054[/C][C]0.0161248196573554[/C][/ROW]
[ROW][C]0.46[/C][C]-0.017795915976466[/C][C]0.0165153935815512[/C][/ROW]
[ROW][C]0.47[/C][C]-0.0149810927129895[/C][C]0.0168383815471283[/C][/ROW]
[ROW][C]0.48[/C][C]-0.0121140963002454[/C][C]0.0171037139338906[/C][/ROW]
[ROW][C]0.49[/C][C]-0.00920247156642487[/C][C]0.0173245536001671[/C][/ROW]
[ROW][C]0.5[/C][C]-0.00625199643293256[/C][C]0.0175148270228644[/C][/ROW]
[ROW][C]0.51[/C][C]-0.00326660012491837[/C][C]0.0176870268587813[/C][/ROW]
[ROW][C]0.52[/C][C]-0.000248607067750147[/C][C]0.0178505010819893[/C][/ROW]
[ROW][C]0.53[/C][C]0.00280074993624998[/C][C]0.0180103532468407[/C][/ROW]
[ROW][C]0.54[/C][C]0.00588061768091605[/C][C]0.0181668123288826[/C][/ROW]
[ROW][C]0.55[/C][C]0.00898968837236046[/C][C]0.0183149841525150[/C][/ROW]
[ROW][C]0.56[/C][C]0.0121253231760253[/C][C]0.0184448006054200[/C][/ROW]
[ROW][C]0.57[/C][C]0.0152827170694694[/C][C]0.0185413111623281[/C][/ROW]
[ROW][C]0.58[/C][C]0.0184541933617558[/C][C]0.0185853697139708[/C][/ROW]
[ROW][C]0.59[/C][C]0.0216287192145419[/C][C]0.0185550035116932[/C][/ROW]
[ROW][C]0.6[/C][C]0.0247917292911734[/C][C]0.0184273412145861[/C][/ROW]
[ROW][C]0.61[/C][C]0.0279253278561578[/C][C]0.0181812379568481[/C][/ROW]
[ROW][C]0.62[/C][C]0.0310089077217303[/C][C]0.0178001711315009[/C][/ROW]
[ROW][C]0.63[/C][C]0.0340201800046870[/C][C]0.0172751439088510[/C][/ROW]
[ROW][C]0.64[/C][C]0.0369365599745336[/C][C]0.0166066331508818[/C][/ROW]
[ROW][C]0.65[/C][C]0.0397368134511200[/C][C]0.0158060797919318[/C][/ROW]
[ROW][C]0.66[/C][C]0.0424028473511345[/C][C]0.0148957739402070[/C][/ROW]
[ROW][C]0.67[/C][C]0.0449215343341295[/C][C]0.0139082317725027[/C][/ROW]
[ROW][C]0.68[/C][C]0.0472864931684494[/C][C]0.0128844234565673[/C][/ROW]
[ROW][C]0.69[/C][C]0.0494997903484099[/C][C]0.0118727546151122[/C][/ROW]
[ROW][C]0.7[/C][C]0.0515735618105045[/C][C]0.0109279103224103[/C][/ROW]
[ROW][C]0.71[/C][C]0.0535315490924849[/C][C]0.0101118149128267[/C][/ROW]
[ROW][C]0.72[/C][C]0.0554104791557517[/C][C]0.00949556496262056[/C][/ROW]
[ROW][C]0.73[/C][C]0.0572610837405626[/C][C]0.0091609828222776[/C][/ROW]
[ROW][C]0.74[/C][C]0.0591483703439092[/C][C]0.0091968310424795[/C][/ROW]
[ROW][C]0.75[/C][C]0.0611505721548443[/C][C]0.00968444582440818[/C][/ROW]
[ROW][C]0.76[/C][C]0.0633560979171133[/C][C]0.0106741661210855[/C][/ROW]
[ROW][C]0.77[/C][C]0.0658578705503347[/C][C]0.0121648550462299[/C][/ROW]
[ROW][C]0.78[/C][C]0.068744770968625[/C][C]0.0140951671807822[/C][/ROW]
[ROW][C]0.79[/C][C]0.0720905286973295[/C][C]0.0163422988233027[/C][/ROW]
[ROW][C]0.8[/C][C]0.07594127460526[/C][C]0.0187253191522520[/C][/ROW]
[ROW][C]0.81[/C][C]0.080303931354663[/C][C]0.0210153142281657[/C][/ROW]
[ROW][C]0.82[/C][C]0.0851383919827475[/C][C]0.0229579763726037[/C][/ROW]
[ROW][C]0.83[/C][C]0.090356686896489[/C][C]0.0243103224327445[/C][/ROW]
[ROW][C]0.84[/C][C]0.0958317382129388[/C][C]0.0248864151280423[/C][/ROW]
[ROW][C]0.85[/C][C]0.101416639097103[/C][C]0.0246046718955880[/C][/ROW]
[ROW][C]0.86[/C][C]0.106972694213063[/C][C]0.0235246128384454[/C][/ROW]
[ROW][C]0.87[/C][C]0.112401074681046[/C][C]0.0218629377389466[/C][/ROW]
[ROW][C]0.88[/C][C]0.117669692014323[/C][C]0.0199805278752458[/C][/ROW]
[ROW][C]0.89[/C][C]0.122825155957341[/C][C]0.0183299237276356[/C][/ROW]
[ROW][C]0.9[/C][C]0.127981369187855[/C][C]0.0173303740084524[/C][/ROW]
[ROW][C]0.91[/C][C]0.133283478776528[/C][C]0.0171532943922519[/C][/ROW]
[ROW][C]0.92[/C][C]0.138859508617976[/C][C]0.0175491206213019[/C][/ROW]
[ROW][C]0.93[/C][C]0.144789370500313[/C][C]0.0179385184473371[/C][/ROW]
[ROW][C]0.94[/C][C]0.151131650747692[/C][C]0.0177539535227391[/C][/ROW]
[ROW][C]0.95[/C][C]0.158029826710509[/C][C]0.0168767171604431[/C][/ROW]
[ROW][C]0.96[/C][C]0.165839243093077[/C][C]0.0161209587415159[/C][/ROW]
[ROW][C]0.97[/C][C]0.175067430768695[/C][C]0.0174323846618439[/C][/ROW]
[ROW][C]0.98[/C][C]0.185820846748453[/C][C]0.0223196251371699[/C][/ROW]
[ROW][C]0.99[/C][C]0.196753033266004[/C][C]0.0295050225456977[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20132&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20132&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
0.01-0.1717426081180480.0257493850471461
0.02-0.1614149615197330.0217346616960918
0.03-0.1508964287440930.0181409091026361
0.04-0.1418611060415110.0152702001099009
0.05-0.1346592090127430.0130169659833955
0.06-0.1290001690692160.0113752572286579
0.07-0.1244407549774750.0104104241444573
0.08-0.1205873519724500.0100957496596707
0.09-0.1171449488103900.0102702442075689
0.1-0.1139136618441830.0107189765436474
0.11-0.1107721801098670.0112602326040067
0.12-0.1076582852139540.0117757383011181
0.13-0.104549457926310.0122046975948246
0.14-0.1014457909399100.0125298376011880
0.15-0.09835678508282460.0127637818323555
0.16-0.09529254096371780.0129376076865657
0.17-0.0922589807808890.0130894294044622
0.18-0.08925629494449990.0132545603840900
0.19-0.08627969438917590.0134563387948096
0.2-0.08332158324415130.0137009630624050
0.21-0.08037434797286040.0139763470324549
0.22-0.07743306768914110.0142551093637362
0.23-0.07449759555741520.0145007769590113
0.24-0.07157364524127450.0146745098045426
0.25-0.06867272408544040.0147424134410856
0.26-0.06581096004557680.0146809492407807
0.27-0.06300704549994140.0144814460664433
0.28-0.06027964703652260.0141516128247276
0.29-0.05764469358233090.0137163685095777
0.3-0.05511295221685870.0132144925733303
0.31-0.05268823695415160.0126952357933221
0.32-0.05036648431754410.0122127091144110
0.33-0.04813579095614450.0118195156461004
0.34-0.04597736649425610.0115603782078646
0.35-0.04386723181876310.0114657085305067
0.36-0.04177840629030730.0115479772029802
0.37-0.03968328593125030.0118007619380384
0.38-0.03755591874463520.0122014223581903
0.39-0.03537392593656030.0127159022425618
0.4-0.03311988744551040.0133045698239018
0.41-0.03078209379529760.0139269953779325
0.42-0.02835465161237390.0145463043842993
0.43-0.02583700695295070.0151321482958060
0.44-0.02323301113523420.0156625203097129
0.45-0.02054969290430540.0161248196573554
0.46-0.0177959159764660.0165153935815512
0.47-0.01498109271298950.0168383815471283
0.48-0.01211409630024540.0171037139338906
0.49-0.009202471566424870.0173245536001671
0.5-0.006251996432932560.0175148270228644
0.51-0.003266600124918370.0176870268587813
0.52-0.0002486070677501470.0178505010819893
0.530.002800749936249980.0180103532468407
0.540.005880617680916050.0181668123288826
0.550.008989688372360460.0183149841525150
0.560.01212532317602530.0184448006054200
0.570.01528271706946940.0185413111623281
0.580.01845419336175580.0185853697139708
0.590.02162871921454190.0185550035116932
0.60.02479172929117340.0184273412145861
0.610.02792532785615780.0181812379568481
0.620.03100890772173030.0178001711315009
0.630.03402018000468700.0172751439088510
0.640.03693655997453360.0166066331508818
0.650.03973681345112000.0158060797919318
0.660.04240284735113450.0148957739402070
0.670.04492153433412950.0139082317725027
0.680.04728649316844940.0128844234565673
0.690.04949979034840990.0118727546151122
0.70.05157356181050450.0109279103224103
0.710.05353154909248490.0101118149128267
0.720.05541047915575170.00949556496262056
0.730.05726108374056260.0091609828222776
0.740.05914837034390920.0091968310424795
0.750.06115057215484430.00968444582440818
0.760.06335609791711330.0106741661210855
0.770.06585787055033470.0121648550462299
0.780.0687447709686250.0140951671807822
0.790.07209052869732950.0163422988233027
0.80.075941274605260.0187253191522520
0.810.0803039313546630.0210153142281657
0.820.08513839198274750.0229579763726037
0.830.0903566868964890.0243103224327445
0.840.09583173821293880.0248864151280423
0.850.1014166390971030.0246046718955880
0.860.1069726942130630.0235246128384454
0.870.1124010746810460.0218629377389466
0.880.1176696920143230.0199805278752458
0.890.1228251559573410.0183299237276356
0.90.1279813691878550.0173303740084524
0.910.1332834787765280.0171532943922519
0.920.1388595086179760.0175491206213019
0.930.1447893705003130.0179385184473371
0.940.1511316507476920.0177539535227391
0.950.1580298267105090.0168767171604431
0.960.1658392430930770.0161209587415159
0.970.1750674307686950.0174323846618439
0.980.1858208467484530.0223196251371699
0.990.1967530332660040.0295050225456977


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')