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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 17 Dec 2011 05:00:34 -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/2011/Dec/17/t132411608277ktjncpvxi0x6m.htm/, Retrieved Thu, 30 May 2024 16:31:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156165, Retrieved Thu, 30 May 2024 16:31:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [prijs haarsnit heren] [2011-11-26 11:18:39] [f1fd1a5c6326484b1f99f813a7dd37c8]
- R PD    [Harrell-Davis Quantiles] [prijs haarsnit heren] [2011-12-17 10:00:34] [d0059bb5ffa81669f18ca7953f72fb2d] [Current]
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Dataseries X:
15.58
15.66
15.73
15.74
15.77
15.78
15.8
15.81
15.82
15.88
15.85
15.89
15.92
16.02
16.1
16.13
16.21
16.25
16.27
16.21
16.21
16.24
16.32
16.32
16.36
16.48
16.54
16.58
16.56
16.55
16.58
16.53
16.6
16.46
16.48
16.48
16.49
16.54
16.67
16.72
16.79
16.86
16.84
16.86
16.96
17.01
17.02
17.04
17.04
17.39
17.54
17.57
17.58
17.56
17.63
17.67
17.71
17.75
17.82
17.86




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156165&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156165&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156165&T=0

As an alternative you can also use a 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'Gertrude Mary Cox' @ cox.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0115.60037012215220.0741946674783476
0.0215.63105798787770.0678289534771241
0.0315.66355952699920.0604692115438824
0.0415.69260731662590.0525895669411085
0.0515.7165739221950.0454042975116232
0.0615.7359081900880.0400930067718456
0.0715.75176610696360.0370342349201864
0.0815.76531396618510.0359621114609555
0.0915.77750214346820.0365013266474525
0.115.78905651470060.0385023365600793
0.1115.80053756948980.0419567751679457
0.1215.81240021442030.0469139649955432
0.1315.82503198951270.0533532882043789
0.1415.83876802473780.061191849320668
0.1515.853888625740.0702640314877074
0.1615.87060658735130.0802214143356392
0.1715.88905036358740.0906552595164591
0.1815.90924817966390.101008847642441
0.1915.93111750090460.110690720940235
0.215.9544635587180.119045968903855
0.2115.97898937971960.125552649477263
0.2216.00431783944510.129834101941122
0.2316.03002396873020.131645395599571
0.2416.05567363682770.131060412844759
0.2516.08086337486790.128329025595448
0.2616.10525582252470.123917520879913
0.2716.12860610058150.118398372562997
0.2816.15077606678440.112401054068142
0.2916.17173546627940.106556135304434
0.316.19155098105490.101425833737305
0.3116.21036575180720.0973970852435447
0.3216.22837288954460.0946846074752611
0.3316.24578678010830.093347928445682
0.3416.26281570911830.0931999855396419
0.3516.27963866455560.0939620126391283
0.3616.29638829007940.0952463332667547
0.3716.31314101962880.096645535035873
0.3816.32991453543040.0978040212869289
0.3916.34667192834020.0983786373919748
0.416.36333134268760.0981494051396688
0.4116.37977948177820.0969836617786451
0.4216.39588714987680.0948339559333169
0.4316.41152501725530.091772002995195
0.4416.42657800661480.0879657738470144
0.4516.44095707906080.083596186102306
0.4616.45460768752250.0789485645096146
0.4716.46751468613350.0742559240984506
0.4816.47970394915090.0698157338240093
0.4916.49124128639910.0658451658474263
0.516.50222939607390.0625967229259294
0.5116.51280356219640.0602668341881027
0.5216.52312661762810.0589925581910958
0.5316.5333834230520.0589364964746423
0.5416.54377484384860.0601689622060129
0.5516.55451102320020.0627300138206603
0.5616.5658037107850.0666042216110311
0.5716.57785753452480.0716614416845387
0.5816.59086037749710.0778163836198556
0.5916.60497338378140.0848017166219548
0.616.62032147996780.0923153279266498
0.6116.63698557068810.100056742839094
0.6216.654997669220.107690703489899
0.6316.67434011496960.11488474199382
0.6416.69494971197420.121367952656941
0.6516.71672714577750.12693213776884
0.6616.73955147952260.131450843842912
0.6716.76329897512020.134984911978877
0.6816.78786498220710.137653235727136
0.6916.81318718240660.139725416625791
0.716.83926801267360.141617231516278
0.7116.8661935478470.143836811289388
0.7216.89414548410280.146955813094443
0.7316.92340225768540.151596125354574
0.7416.95432507963250.158272776832404
0.7516.98732526452570.167306770612972
0.7617.02281121394930.178631225004444
0.7717.0611171026650.191749386437228
0.7817.10242050759910.205631523513528
0.7917.14666196604810.218807011814349
0.817.19348404561420.229512639761922
0.8117.24220884234160.235982395813438
0.8217.29186907760470.236737492615556
0.8317.34129850367780.230921368784254
0.8417.38927343940280.21853085879182
0.8517.4346823313960.200470481099405
0.8617.47668909372060.178487770757472
0.8717.51485334317970.154877425845009
0.8817.54917916304090.13205108354417
0.8917.58008256077590.11209645946843
0.917.60829082315210.096326737485897
0.9117.63470572701340.0850971036023882
0.9217.66026792690430.0778276202128926
0.9317.68584668749850.073455575097998
0.9417.71215034034470.0708997651591451
0.9517.73961974169210.0691266782537
0.9617.76824389538640.06676468003326
0.9717.79723924510710.0620213527337053
0.9817.82460985420160.0539250564060002
0.9917.84689372922650.0447503169619095

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 15.6003701221522 & 0.0741946674783476 \tabularnewline
0.02 & 15.6310579878777 & 0.0678289534771241 \tabularnewline
0.03 & 15.6635595269992 & 0.0604692115438824 \tabularnewline
0.04 & 15.6926073166259 & 0.0525895669411085 \tabularnewline
0.05 & 15.716573922195 & 0.0454042975116232 \tabularnewline
0.06 & 15.735908190088 & 0.0400930067718456 \tabularnewline
0.07 & 15.7517661069636 & 0.0370342349201864 \tabularnewline
0.08 & 15.7653139661851 & 0.0359621114609555 \tabularnewline
0.09 & 15.7775021434682 & 0.0365013266474525 \tabularnewline
0.1 & 15.7890565147006 & 0.0385023365600793 \tabularnewline
0.11 & 15.8005375694898 & 0.0419567751679457 \tabularnewline
0.12 & 15.8124002144203 & 0.0469139649955432 \tabularnewline
0.13 & 15.8250319895127 & 0.0533532882043789 \tabularnewline
0.14 & 15.8387680247378 & 0.061191849320668 \tabularnewline
0.15 & 15.85388862574 & 0.0702640314877074 \tabularnewline
0.16 & 15.8706065873513 & 0.0802214143356392 \tabularnewline
0.17 & 15.8890503635874 & 0.0906552595164591 \tabularnewline
0.18 & 15.9092481796639 & 0.101008847642441 \tabularnewline
0.19 & 15.9311175009046 & 0.110690720940235 \tabularnewline
0.2 & 15.954463558718 & 0.119045968903855 \tabularnewline
0.21 & 15.9789893797196 & 0.125552649477263 \tabularnewline
0.22 & 16.0043178394451 & 0.129834101941122 \tabularnewline
0.23 & 16.0300239687302 & 0.131645395599571 \tabularnewline
0.24 & 16.0556736368277 & 0.131060412844759 \tabularnewline
0.25 & 16.0808633748679 & 0.128329025595448 \tabularnewline
0.26 & 16.1052558225247 & 0.123917520879913 \tabularnewline
0.27 & 16.1286061005815 & 0.118398372562997 \tabularnewline
0.28 & 16.1507760667844 & 0.112401054068142 \tabularnewline
0.29 & 16.1717354662794 & 0.106556135304434 \tabularnewline
0.3 & 16.1915509810549 & 0.101425833737305 \tabularnewline
0.31 & 16.2103657518072 & 0.0973970852435447 \tabularnewline
0.32 & 16.2283728895446 & 0.0946846074752611 \tabularnewline
0.33 & 16.2457867801083 & 0.093347928445682 \tabularnewline
0.34 & 16.2628157091183 & 0.0931999855396419 \tabularnewline
0.35 & 16.2796386645556 & 0.0939620126391283 \tabularnewline
0.36 & 16.2963882900794 & 0.0952463332667547 \tabularnewline
0.37 & 16.3131410196288 & 0.096645535035873 \tabularnewline
0.38 & 16.3299145354304 & 0.0978040212869289 \tabularnewline
0.39 & 16.3466719283402 & 0.0983786373919748 \tabularnewline
0.4 & 16.3633313426876 & 0.0981494051396688 \tabularnewline
0.41 & 16.3797794817782 & 0.0969836617786451 \tabularnewline
0.42 & 16.3958871498768 & 0.0948339559333169 \tabularnewline
0.43 & 16.4115250172553 & 0.091772002995195 \tabularnewline
0.44 & 16.4265780066148 & 0.0879657738470144 \tabularnewline
0.45 & 16.4409570790608 & 0.083596186102306 \tabularnewline
0.46 & 16.4546076875225 & 0.0789485645096146 \tabularnewline
0.47 & 16.4675146861335 & 0.0742559240984506 \tabularnewline
0.48 & 16.4797039491509 & 0.0698157338240093 \tabularnewline
0.49 & 16.4912412863991 & 0.0658451658474263 \tabularnewline
0.5 & 16.5022293960739 & 0.0625967229259294 \tabularnewline
0.51 & 16.5128035621964 & 0.0602668341881027 \tabularnewline
0.52 & 16.5231266176281 & 0.0589925581910958 \tabularnewline
0.53 & 16.533383423052 & 0.0589364964746423 \tabularnewline
0.54 & 16.5437748438486 & 0.0601689622060129 \tabularnewline
0.55 & 16.5545110232002 & 0.0627300138206603 \tabularnewline
0.56 & 16.565803710785 & 0.0666042216110311 \tabularnewline
0.57 & 16.5778575345248 & 0.0716614416845387 \tabularnewline
0.58 & 16.5908603774971 & 0.0778163836198556 \tabularnewline
0.59 & 16.6049733837814 & 0.0848017166219548 \tabularnewline
0.6 & 16.6203214799678 & 0.0923153279266498 \tabularnewline
0.61 & 16.6369855706881 & 0.100056742839094 \tabularnewline
0.62 & 16.65499766922 & 0.107690703489899 \tabularnewline
0.63 & 16.6743401149696 & 0.11488474199382 \tabularnewline
0.64 & 16.6949497119742 & 0.121367952656941 \tabularnewline
0.65 & 16.7167271457775 & 0.12693213776884 \tabularnewline
0.66 & 16.7395514795226 & 0.131450843842912 \tabularnewline
0.67 & 16.7632989751202 & 0.134984911978877 \tabularnewline
0.68 & 16.7878649822071 & 0.137653235727136 \tabularnewline
0.69 & 16.8131871824066 & 0.139725416625791 \tabularnewline
0.7 & 16.8392680126736 & 0.141617231516278 \tabularnewline
0.71 & 16.866193547847 & 0.143836811289388 \tabularnewline
0.72 & 16.8941454841028 & 0.146955813094443 \tabularnewline
0.73 & 16.9234022576854 & 0.151596125354574 \tabularnewline
0.74 & 16.9543250796325 & 0.158272776832404 \tabularnewline
0.75 & 16.9873252645257 & 0.167306770612972 \tabularnewline
0.76 & 17.0228112139493 & 0.178631225004444 \tabularnewline
0.77 & 17.061117102665 & 0.191749386437228 \tabularnewline
0.78 & 17.1024205075991 & 0.205631523513528 \tabularnewline
0.79 & 17.1466619660481 & 0.218807011814349 \tabularnewline
0.8 & 17.1934840456142 & 0.229512639761922 \tabularnewline
0.81 & 17.2422088423416 & 0.235982395813438 \tabularnewline
0.82 & 17.2918690776047 & 0.236737492615556 \tabularnewline
0.83 & 17.3412985036778 & 0.230921368784254 \tabularnewline
0.84 & 17.3892734394028 & 0.21853085879182 \tabularnewline
0.85 & 17.434682331396 & 0.200470481099405 \tabularnewline
0.86 & 17.4766890937206 & 0.178487770757472 \tabularnewline
0.87 & 17.5148533431797 & 0.154877425845009 \tabularnewline
0.88 & 17.5491791630409 & 0.13205108354417 \tabularnewline
0.89 & 17.5800825607759 & 0.11209645946843 \tabularnewline
0.9 & 17.6082908231521 & 0.096326737485897 \tabularnewline
0.91 & 17.6347057270134 & 0.0850971036023882 \tabularnewline
0.92 & 17.6602679269043 & 0.0778276202128926 \tabularnewline
0.93 & 17.6858466874985 & 0.073455575097998 \tabularnewline
0.94 & 17.7121503403447 & 0.0708997651591451 \tabularnewline
0.95 & 17.7396197416921 & 0.0691266782537 \tabularnewline
0.96 & 17.7682438953864 & 0.06676468003326 \tabularnewline
0.97 & 17.7972392451071 & 0.0620213527337053 \tabularnewline
0.98 & 17.8246098542016 & 0.0539250564060002 \tabularnewline
0.99 & 17.8468937292265 & 0.0447503169619095 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156165&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]15.6003701221522[/C][C]0.0741946674783476[/C][/ROW]
[ROW][C]0.02[/C][C]15.6310579878777[/C][C]0.0678289534771241[/C][/ROW]
[ROW][C]0.03[/C][C]15.6635595269992[/C][C]0.0604692115438824[/C][/ROW]
[ROW][C]0.04[/C][C]15.6926073166259[/C][C]0.0525895669411085[/C][/ROW]
[ROW][C]0.05[/C][C]15.716573922195[/C][C]0.0454042975116232[/C][/ROW]
[ROW][C]0.06[/C][C]15.735908190088[/C][C]0.0400930067718456[/C][/ROW]
[ROW][C]0.07[/C][C]15.7517661069636[/C][C]0.0370342349201864[/C][/ROW]
[ROW][C]0.08[/C][C]15.7653139661851[/C][C]0.0359621114609555[/C][/ROW]
[ROW][C]0.09[/C][C]15.7775021434682[/C][C]0.0365013266474525[/C][/ROW]
[ROW][C]0.1[/C][C]15.7890565147006[/C][C]0.0385023365600793[/C][/ROW]
[ROW][C]0.11[/C][C]15.8005375694898[/C][C]0.0419567751679457[/C][/ROW]
[ROW][C]0.12[/C][C]15.8124002144203[/C][C]0.0469139649955432[/C][/ROW]
[ROW][C]0.13[/C][C]15.8250319895127[/C][C]0.0533532882043789[/C][/ROW]
[ROW][C]0.14[/C][C]15.8387680247378[/C][C]0.061191849320668[/C][/ROW]
[ROW][C]0.15[/C][C]15.85388862574[/C][C]0.0702640314877074[/C][/ROW]
[ROW][C]0.16[/C][C]15.8706065873513[/C][C]0.0802214143356392[/C][/ROW]
[ROW][C]0.17[/C][C]15.8890503635874[/C][C]0.0906552595164591[/C][/ROW]
[ROW][C]0.18[/C][C]15.9092481796639[/C][C]0.101008847642441[/C][/ROW]
[ROW][C]0.19[/C][C]15.9311175009046[/C][C]0.110690720940235[/C][/ROW]
[ROW][C]0.2[/C][C]15.954463558718[/C][C]0.119045968903855[/C][/ROW]
[ROW][C]0.21[/C][C]15.9789893797196[/C][C]0.125552649477263[/C][/ROW]
[ROW][C]0.22[/C][C]16.0043178394451[/C][C]0.129834101941122[/C][/ROW]
[ROW][C]0.23[/C][C]16.0300239687302[/C][C]0.131645395599571[/C][/ROW]
[ROW][C]0.24[/C][C]16.0556736368277[/C][C]0.131060412844759[/C][/ROW]
[ROW][C]0.25[/C][C]16.0808633748679[/C][C]0.128329025595448[/C][/ROW]
[ROW][C]0.26[/C][C]16.1052558225247[/C][C]0.123917520879913[/C][/ROW]
[ROW][C]0.27[/C][C]16.1286061005815[/C][C]0.118398372562997[/C][/ROW]
[ROW][C]0.28[/C][C]16.1507760667844[/C][C]0.112401054068142[/C][/ROW]
[ROW][C]0.29[/C][C]16.1717354662794[/C][C]0.106556135304434[/C][/ROW]
[ROW][C]0.3[/C][C]16.1915509810549[/C][C]0.101425833737305[/C][/ROW]
[ROW][C]0.31[/C][C]16.2103657518072[/C][C]0.0973970852435447[/C][/ROW]
[ROW][C]0.32[/C][C]16.2283728895446[/C][C]0.0946846074752611[/C][/ROW]
[ROW][C]0.33[/C][C]16.2457867801083[/C][C]0.093347928445682[/C][/ROW]
[ROW][C]0.34[/C][C]16.2628157091183[/C][C]0.0931999855396419[/C][/ROW]
[ROW][C]0.35[/C][C]16.2796386645556[/C][C]0.0939620126391283[/C][/ROW]
[ROW][C]0.36[/C][C]16.2963882900794[/C][C]0.0952463332667547[/C][/ROW]
[ROW][C]0.37[/C][C]16.3131410196288[/C][C]0.096645535035873[/C][/ROW]
[ROW][C]0.38[/C][C]16.3299145354304[/C][C]0.0978040212869289[/C][/ROW]
[ROW][C]0.39[/C][C]16.3466719283402[/C][C]0.0983786373919748[/C][/ROW]
[ROW][C]0.4[/C][C]16.3633313426876[/C][C]0.0981494051396688[/C][/ROW]
[ROW][C]0.41[/C][C]16.3797794817782[/C][C]0.0969836617786451[/C][/ROW]
[ROW][C]0.42[/C][C]16.3958871498768[/C][C]0.0948339559333169[/C][/ROW]
[ROW][C]0.43[/C][C]16.4115250172553[/C][C]0.091772002995195[/C][/ROW]
[ROW][C]0.44[/C][C]16.4265780066148[/C][C]0.0879657738470144[/C][/ROW]
[ROW][C]0.45[/C][C]16.4409570790608[/C][C]0.083596186102306[/C][/ROW]
[ROW][C]0.46[/C][C]16.4546076875225[/C][C]0.0789485645096146[/C][/ROW]
[ROW][C]0.47[/C][C]16.4675146861335[/C][C]0.0742559240984506[/C][/ROW]
[ROW][C]0.48[/C][C]16.4797039491509[/C][C]0.0698157338240093[/C][/ROW]
[ROW][C]0.49[/C][C]16.4912412863991[/C][C]0.0658451658474263[/C][/ROW]
[ROW][C]0.5[/C][C]16.5022293960739[/C][C]0.0625967229259294[/C][/ROW]
[ROW][C]0.51[/C][C]16.5128035621964[/C][C]0.0602668341881027[/C][/ROW]
[ROW][C]0.52[/C][C]16.5231266176281[/C][C]0.0589925581910958[/C][/ROW]
[ROW][C]0.53[/C][C]16.533383423052[/C][C]0.0589364964746423[/C][/ROW]
[ROW][C]0.54[/C][C]16.5437748438486[/C][C]0.0601689622060129[/C][/ROW]
[ROW][C]0.55[/C][C]16.5545110232002[/C][C]0.0627300138206603[/C][/ROW]
[ROW][C]0.56[/C][C]16.565803710785[/C][C]0.0666042216110311[/C][/ROW]
[ROW][C]0.57[/C][C]16.5778575345248[/C][C]0.0716614416845387[/C][/ROW]
[ROW][C]0.58[/C][C]16.5908603774971[/C][C]0.0778163836198556[/C][/ROW]
[ROW][C]0.59[/C][C]16.6049733837814[/C][C]0.0848017166219548[/C][/ROW]
[ROW][C]0.6[/C][C]16.6203214799678[/C][C]0.0923153279266498[/C][/ROW]
[ROW][C]0.61[/C][C]16.6369855706881[/C][C]0.100056742839094[/C][/ROW]
[ROW][C]0.62[/C][C]16.65499766922[/C][C]0.107690703489899[/C][/ROW]
[ROW][C]0.63[/C][C]16.6743401149696[/C][C]0.11488474199382[/C][/ROW]
[ROW][C]0.64[/C][C]16.6949497119742[/C][C]0.121367952656941[/C][/ROW]
[ROW][C]0.65[/C][C]16.7167271457775[/C][C]0.12693213776884[/C][/ROW]
[ROW][C]0.66[/C][C]16.7395514795226[/C][C]0.131450843842912[/C][/ROW]
[ROW][C]0.67[/C][C]16.7632989751202[/C][C]0.134984911978877[/C][/ROW]
[ROW][C]0.68[/C][C]16.7878649822071[/C][C]0.137653235727136[/C][/ROW]
[ROW][C]0.69[/C][C]16.8131871824066[/C][C]0.139725416625791[/C][/ROW]
[ROW][C]0.7[/C][C]16.8392680126736[/C][C]0.141617231516278[/C][/ROW]
[ROW][C]0.71[/C][C]16.866193547847[/C][C]0.143836811289388[/C][/ROW]
[ROW][C]0.72[/C][C]16.8941454841028[/C][C]0.146955813094443[/C][/ROW]
[ROW][C]0.73[/C][C]16.9234022576854[/C][C]0.151596125354574[/C][/ROW]
[ROW][C]0.74[/C][C]16.9543250796325[/C][C]0.158272776832404[/C][/ROW]
[ROW][C]0.75[/C][C]16.9873252645257[/C][C]0.167306770612972[/C][/ROW]
[ROW][C]0.76[/C][C]17.0228112139493[/C][C]0.178631225004444[/C][/ROW]
[ROW][C]0.77[/C][C]17.061117102665[/C][C]0.191749386437228[/C][/ROW]
[ROW][C]0.78[/C][C]17.1024205075991[/C][C]0.205631523513528[/C][/ROW]
[ROW][C]0.79[/C][C]17.1466619660481[/C][C]0.218807011814349[/C][/ROW]
[ROW][C]0.8[/C][C]17.1934840456142[/C][C]0.229512639761922[/C][/ROW]
[ROW][C]0.81[/C][C]17.2422088423416[/C][C]0.235982395813438[/C][/ROW]
[ROW][C]0.82[/C][C]17.2918690776047[/C][C]0.236737492615556[/C][/ROW]
[ROW][C]0.83[/C][C]17.3412985036778[/C][C]0.230921368784254[/C][/ROW]
[ROW][C]0.84[/C][C]17.3892734394028[/C][C]0.21853085879182[/C][/ROW]
[ROW][C]0.85[/C][C]17.434682331396[/C][C]0.200470481099405[/C][/ROW]
[ROW][C]0.86[/C][C]17.4766890937206[/C][C]0.178487770757472[/C][/ROW]
[ROW][C]0.87[/C][C]17.5148533431797[/C][C]0.154877425845009[/C][/ROW]
[ROW][C]0.88[/C][C]17.5491791630409[/C][C]0.13205108354417[/C][/ROW]
[ROW][C]0.89[/C][C]17.5800825607759[/C][C]0.11209645946843[/C][/ROW]
[ROW][C]0.9[/C][C]17.6082908231521[/C][C]0.096326737485897[/C][/ROW]
[ROW][C]0.91[/C][C]17.6347057270134[/C][C]0.0850971036023882[/C][/ROW]
[ROW][C]0.92[/C][C]17.6602679269043[/C][C]0.0778276202128926[/C][/ROW]
[ROW][C]0.93[/C][C]17.6858466874985[/C][C]0.073455575097998[/C][/ROW]
[ROW][C]0.94[/C][C]17.7121503403447[/C][C]0.0708997651591451[/C][/ROW]
[ROW][C]0.95[/C][C]17.7396197416921[/C][C]0.0691266782537[/C][/ROW]
[ROW][C]0.96[/C][C]17.7682438953864[/C][C]0.06676468003326[/C][/ROW]
[ROW][C]0.97[/C][C]17.7972392451071[/C][C]0.0620213527337053[/C][/ROW]
[ROW][C]0.98[/C][C]17.8246098542016[/C][C]0.0539250564060002[/C][/ROW]
[ROW][C]0.99[/C][C]17.8468937292265[/C][C]0.0447503169619095[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156165&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156165&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0115.60037012215220.0741946674783476
0.0215.63105798787770.0678289534771241
0.0315.66355952699920.0604692115438824
0.0415.69260731662590.0525895669411085
0.0515.7165739221950.0454042975116232
0.0615.7359081900880.0400930067718456
0.0715.75176610696360.0370342349201864
0.0815.76531396618510.0359621114609555
0.0915.77750214346820.0365013266474525
0.115.78905651470060.0385023365600793
0.1115.80053756948980.0419567751679457
0.1215.81240021442030.0469139649955432
0.1315.82503198951270.0533532882043789
0.1415.83876802473780.061191849320668
0.1515.853888625740.0702640314877074
0.1615.87060658735130.0802214143356392
0.1715.88905036358740.0906552595164591
0.1815.90924817966390.101008847642441
0.1915.93111750090460.110690720940235
0.215.9544635587180.119045968903855
0.2115.97898937971960.125552649477263
0.2216.00431783944510.129834101941122
0.2316.03002396873020.131645395599571
0.2416.05567363682770.131060412844759
0.2516.08086337486790.128329025595448
0.2616.10525582252470.123917520879913
0.2716.12860610058150.118398372562997
0.2816.15077606678440.112401054068142
0.2916.17173546627940.106556135304434
0.316.19155098105490.101425833737305
0.3116.21036575180720.0973970852435447
0.3216.22837288954460.0946846074752611
0.3316.24578678010830.093347928445682
0.3416.26281570911830.0931999855396419
0.3516.27963866455560.0939620126391283
0.3616.29638829007940.0952463332667547
0.3716.31314101962880.096645535035873
0.3816.32991453543040.0978040212869289
0.3916.34667192834020.0983786373919748
0.416.36333134268760.0981494051396688
0.4116.37977948177820.0969836617786451
0.4216.39588714987680.0948339559333169
0.4316.41152501725530.091772002995195
0.4416.42657800661480.0879657738470144
0.4516.44095707906080.083596186102306
0.4616.45460768752250.0789485645096146
0.4716.46751468613350.0742559240984506
0.4816.47970394915090.0698157338240093
0.4916.49124128639910.0658451658474263
0.516.50222939607390.0625967229259294
0.5116.51280356219640.0602668341881027
0.5216.52312661762810.0589925581910958
0.5316.5333834230520.0589364964746423
0.5416.54377484384860.0601689622060129
0.5516.55451102320020.0627300138206603
0.5616.5658037107850.0666042216110311
0.5716.57785753452480.0716614416845387
0.5816.59086037749710.0778163836198556
0.5916.60497338378140.0848017166219548
0.616.62032147996780.0923153279266498
0.6116.63698557068810.100056742839094
0.6216.654997669220.107690703489899
0.6316.67434011496960.11488474199382
0.6416.69494971197420.121367952656941
0.6516.71672714577750.12693213776884
0.6616.73955147952260.131450843842912
0.6716.76329897512020.134984911978877
0.6816.78786498220710.137653235727136
0.6916.81318718240660.139725416625791
0.716.83926801267360.141617231516278
0.7116.8661935478470.143836811289388
0.7216.89414548410280.146955813094443
0.7316.92340225768540.151596125354574
0.7416.95432507963250.158272776832404
0.7516.98732526452570.167306770612972
0.7617.02281121394930.178631225004444
0.7717.0611171026650.191749386437228
0.7817.10242050759910.205631523513528
0.7917.14666196604810.218807011814349
0.817.19348404561420.229512639761922
0.8117.24220884234160.235982395813438
0.8217.29186907760470.236737492615556
0.8317.34129850367780.230921368784254
0.8417.38927343940280.21853085879182
0.8517.4346823313960.200470481099405
0.8617.47668909372060.178487770757472
0.8717.51485334317970.154877425845009
0.8817.54917916304090.13205108354417
0.8917.58008256077590.11209645946843
0.917.60829082315210.096326737485897
0.9117.63470572701340.0850971036023882
0.9217.66026792690430.0778276202128926
0.9317.68584668749850.073455575097998
0.9417.71215034034470.0708997651591451
0.9517.73961974169210.0691266782537
0.9617.76824389538640.06676468003326
0.9717.79723924510710.0620213527337053
0.9817.82460985420160.0539250564060002
0.9917.84689372922650.0447503169619095



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')