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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 07 Jan 2016 15:12:02 +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/2016/Jan/07/t145217954936tbq0oe99a7hdp.htm/, Retrieved Sat, 27 Apr 2024 20:12:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=287382, Retrieved Sat, 27 Apr 2024 20:12:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [] [2015-10-10 10:46:05] [a642a7d7b5f7c65c232df2d499025a08]
- RMPD    [Harrell-Davis Quantiles] [] [2016-01-07 15:12:02] [c6ba03d4d421ca9ab835e2907c34aa87] [Current]
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Dataseries X:
99.2
99.1
99.1
99.1
99.1
99.1
99.9
100
100
101.3
102
102
102.4
103
103
103.6
103.6
103.6
103.6
103.6
103.9
104
104
104
104.9
105.1
105.2
105.5
105.7
105.7
105.7
105.7
105.7
105.8
105.8
105.8
106.6
107
107.2
107.3
107.3
107.3
107.4
107.4
107.4
107.4
107.5
107.5
105
105.2
105.2
105.3
105.3
105.3
105.3
105.3
105.3
105.3
106.1
106.1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=287382&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=287382&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=287382&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.10060618741650.00272341833968118
0.0299.10331910853280.0128166497496476
0.0399.1110792273650.0367592298655662
0.0499.12829943732590.08056838976581
0.0599.16039251369730.14740942434376
0.0699.21289078784160.236302701096455
0.0799.29047342719030.342628419084761
0.0899.39623311824390.460098104722244
0.0999.53136279826110.582002162542708
0.199.69523726606940.702784386101144
0.1199.88572543378020.817757034879895
0.12100.0995508545690.92256927458885
0.13100.3325933092091.0124941208995
0.14100.5801219398851.08319081930107
0.15100.8370097225421.13116543623583
0.16101.0979797817921.15452638583001
0.17101.3578949621721.15381859755465
0.18101.6120581700971.13147524338812
0.19101.8564694479411.091343066965
0.2102.0879939738951.03772394163107
0.21102.3044232374160.975020934609055
0.22102.5044424866260.906883430443817
0.23102.6875374086640.836362837062233
0.24102.8538766968860.766192453337419
0.25103.0041976833380.698715480930563
0.26103.1397069160990.636012579093841
0.27103.2619937688070.580440851088159
0.28103.3729473705540.533944594162169
0.29103.4746662668370.498262283271985
0.3103.569354517590.474747555534238
0.31103.6592045105170.463326838255645
0.32103.7462729332660.463332495818791
0.33103.8323604037460.472789334026063
0.34103.9189066254780.489032237640766
0.35104.0069118848330.508888546575975
0.36104.0968929354950.529203984755841
0.37104.1888775844630.547064221594436
0.38104.2824382340850.559878636533811
0.39104.3767607092330.565618537350409
0.4104.4707412583720.563018172945859
0.41104.5631019674910.551354924984197
0.42104.6525132481750.530900452541328
0.43104.7377117739160.502431611285614
0.44104.817603321430.467418890176837
0.45104.8913422986860.427618066179206
0.46104.9583829554420.385031904634322
0.47105.0185008475080.341795765995339
0.48105.0717864712540.29981868007251
0.49105.1186155823770.260706342711985
0.5105.1596022397580.225901945619806
0.51105.1955410093870.196411006185044
0.52105.2273442173630.172926638765251
0.53105.2559790265170.155888843084984
0.54105.2824078614210.145190585924405
0.55105.30753469050.140451066568073
0.56105.3321591003490.140708365214068
0.57105.356939971170.144805748759098
0.58105.3823707038850.151323194291704
0.59105.4087680671890.158990832143881
0.6105.4362765247090.166517242946793
0.61105.4648891593530.173036595630813
0.62105.4944849888590.177837470046114
0.63105.524880704150.180672490658333
0.64105.5558929500830.181613526200788
0.65105.5874055624670.181305395239695
0.66105.6194349946810.180537689906742
0.67105.6521867037820.180911804804556
0.68105.6860955402290.183853769495239
0.69105.7218440664510.191075681318056
0.7105.7603540158640.204105223529577
0.71105.8027476387420.22390229392613
0.72105.8502774558940.250939326954332
0.73105.904225136250.284802465741148
0.74105.9657731393290.324315693891676
0.75106.0358566844480.367774600439754
0.76106.1150085018240.412536937690503
0.77106.2032141314140.455436368368356
0.78106.2998000521450.492960745983067
0.79106.4033788836110.521483679988791
0.8106.5118733869740.537779478536394
0.81106.6226325986570.539352941798348
0.82106.7326390608220.525108123098814
0.83106.8387876192160.495388196013445
0.84106.9381976254420.452254261057367
0.85107.0285071487830.399120874639795
0.86107.1080956434710.340331759187992
0.87107.176194133110.280488543226996
0.88107.2328688638910.223785942923678
0.89107.2788992619210.173328401233773
0.9107.3156018007590.130942301761857
0.91107.3446623682230.0971547333431734
0.92107.3680169714990.0718042082032277
0.93107.3877610986230.0547238128210331
0.94107.4059926522930.0461772472466122
0.95107.4244583940450.0456762245848492
0.96107.4439623809270.0489274082671551
0.97107.4637561966340.0486988354475619
0.98107.4814567935490.0387517919004455
0.99107.4940693821530.0191555563906636

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.1006061874165 & 0.00272341833968118 \tabularnewline
0.02 & 99.1033191085328 & 0.0128166497496476 \tabularnewline
0.03 & 99.111079227365 & 0.0367592298655662 \tabularnewline
0.04 & 99.1282994373259 & 0.08056838976581 \tabularnewline
0.05 & 99.1603925136973 & 0.14740942434376 \tabularnewline
0.06 & 99.2128907878416 & 0.236302701096455 \tabularnewline
0.07 & 99.2904734271903 & 0.342628419084761 \tabularnewline
0.08 & 99.3962331182439 & 0.460098104722244 \tabularnewline
0.09 & 99.5313627982611 & 0.582002162542708 \tabularnewline
0.1 & 99.6952372660694 & 0.702784386101144 \tabularnewline
0.11 & 99.8857254337802 & 0.817757034879895 \tabularnewline
0.12 & 100.099550854569 & 0.92256927458885 \tabularnewline
0.13 & 100.332593309209 & 1.0124941208995 \tabularnewline
0.14 & 100.580121939885 & 1.08319081930107 \tabularnewline
0.15 & 100.837009722542 & 1.13116543623583 \tabularnewline
0.16 & 101.097979781792 & 1.15452638583001 \tabularnewline
0.17 & 101.357894962172 & 1.15381859755465 \tabularnewline
0.18 & 101.612058170097 & 1.13147524338812 \tabularnewline
0.19 & 101.856469447941 & 1.091343066965 \tabularnewline
0.2 & 102.087993973895 & 1.03772394163107 \tabularnewline
0.21 & 102.304423237416 & 0.975020934609055 \tabularnewline
0.22 & 102.504442486626 & 0.906883430443817 \tabularnewline
0.23 & 102.687537408664 & 0.836362837062233 \tabularnewline
0.24 & 102.853876696886 & 0.766192453337419 \tabularnewline
0.25 & 103.004197683338 & 0.698715480930563 \tabularnewline
0.26 & 103.139706916099 & 0.636012579093841 \tabularnewline
0.27 & 103.261993768807 & 0.580440851088159 \tabularnewline
0.28 & 103.372947370554 & 0.533944594162169 \tabularnewline
0.29 & 103.474666266837 & 0.498262283271985 \tabularnewline
0.3 & 103.56935451759 & 0.474747555534238 \tabularnewline
0.31 & 103.659204510517 & 0.463326838255645 \tabularnewline
0.32 & 103.746272933266 & 0.463332495818791 \tabularnewline
0.33 & 103.832360403746 & 0.472789334026063 \tabularnewline
0.34 & 103.918906625478 & 0.489032237640766 \tabularnewline
0.35 & 104.006911884833 & 0.508888546575975 \tabularnewline
0.36 & 104.096892935495 & 0.529203984755841 \tabularnewline
0.37 & 104.188877584463 & 0.547064221594436 \tabularnewline
0.38 & 104.282438234085 & 0.559878636533811 \tabularnewline
0.39 & 104.376760709233 & 0.565618537350409 \tabularnewline
0.4 & 104.470741258372 & 0.563018172945859 \tabularnewline
0.41 & 104.563101967491 & 0.551354924984197 \tabularnewline
0.42 & 104.652513248175 & 0.530900452541328 \tabularnewline
0.43 & 104.737711773916 & 0.502431611285614 \tabularnewline
0.44 & 104.81760332143 & 0.467418890176837 \tabularnewline
0.45 & 104.891342298686 & 0.427618066179206 \tabularnewline
0.46 & 104.958382955442 & 0.385031904634322 \tabularnewline
0.47 & 105.018500847508 & 0.341795765995339 \tabularnewline
0.48 & 105.071786471254 & 0.29981868007251 \tabularnewline
0.49 & 105.118615582377 & 0.260706342711985 \tabularnewline
0.5 & 105.159602239758 & 0.225901945619806 \tabularnewline
0.51 & 105.195541009387 & 0.196411006185044 \tabularnewline
0.52 & 105.227344217363 & 0.172926638765251 \tabularnewline
0.53 & 105.255979026517 & 0.155888843084984 \tabularnewline
0.54 & 105.282407861421 & 0.145190585924405 \tabularnewline
0.55 & 105.3075346905 & 0.140451066568073 \tabularnewline
0.56 & 105.332159100349 & 0.140708365214068 \tabularnewline
0.57 & 105.35693997117 & 0.144805748759098 \tabularnewline
0.58 & 105.382370703885 & 0.151323194291704 \tabularnewline
0.59 & 105.408768067189 & 0.158990832143881 \tabularnewline
0.6 & 105.436276524709 & 0.166517242946793 \tabularnewline
0.61 & 105.464889159353 & 0.173036595630813 \tabularnewline
0.62 & 105.494484988859 & 0.177837470046114 \tabularnewline
0.63 & 105.52488070415 & 0.180672490658333 \tabularnewline
0.64 & 105.555892950083 & 0.181613526200788 \tabularnewline
0.65 & 105.587405562467 & 0.181305395239695 \tabularnewline
0.66 & 105.619434994681 & 0.180537689906742 \tabularnewline
0.67 & 105.652186703782 & 0.180911804804556 \tabularnewline
0.68 & 105.686095540229 & 0.183853769495239 \tabularnewline
0.69 & 105.721844066451 & 0.191075681318056 \tabularnewline
0.7 & 105.760354015864 & 0.204105223529577 \tabularnewline
0.71 & 105.802747638742 & 0.22390229392613 \tabularnewline
0.72 & 105.850277455894 & 0.250939326954332 \tabularnewline
0.73 & 105.90422513625 & 0.284802465741148 \tabularnewline
0.74 & 105.965773139329 & 0.324315693891676 \tabularnewline
0.75 & 106.035856684448 & 0.367774600439754 \tabularnewline
0.76 & 106.115008501824 & 0.412536937690503 \tabularnewline
0.77 & 106.203214131414 & 0.455436368368356 \tabularnewline
0.78 & 106.299800052145 & 0.492960745983067 \tabularnewline
0.79 & 106.403378883611 & 0.521483679988791 \tabularnewline
0.8 & 106.511873386974 & 0.537779478536394 \tabularnewline
0.81 & 106.622632598657 & 0.539352941798348 \tabularnewline
0.82 & 106.732639060822 & 0.525108123098814 \tabularnewline
0.83 & 106.838787619216 & 0.495388196013445 \tabularnewline
0.84 & 106.938197625442 & 0.452254261057367 \tabularnewline
0.85 & 107.028507148783 & 0.399120874639795 \tabularnewline
0.86 & 107.108095643471 & 0.340331759187992 \tabularnewline
0.87 & 107.17619413311 & 0.280488543226996 \tabularnewline
0.88 & 107.232868863891 & 0.223785942923678 \tabularnewline
0.89 & 107.278899261921 & 0.173328401233773 \tabularnewline
0.9 & 107.315601800759 & 0.130942301761857 \tabularnewline
0.91 & 107.344662368223 & 0.0971547333431734 \tabularnewline
0.92 & 107.368016971499 & 0.0718042082032277 \tabularnewline
0.93 & 107.387761098623 & 0.0547238128210331 \tabularnewline
0.94 & 107.405992652293 & 0.0461772472466122 \tabularnewline
0.95 & 107.424458394045 & 0.0456762245848492 \tabularnewline
0.96 & 107.443962380927 & 0.0489274082671551 \tabularnewline
0.97 & 107.463756196634 & 0.0486988354475619 \tabularnewline
0.98 & 107.481456793549 & 0.0387517919004455 \tabularnewline
0.99 & 107.494069382153 & 0.0191555563906636 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=287382&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]99.1006061874165[/C][C]0.00272341833968118[/C][/ROW]
[ROW][C]0.02[/C][C]99.1033191085328[/C][C]0.0128166497496476[/C][/ROW]
[ROW][C]0.03[/C][C]99.111079227365[/C][C]0.0367592298655662[/C][/ROW]
[ROW][C]0.04[/C][C]99.1282994373259[/C][C]0.08056838976581[/C][/ROW]
[ROW][C]0.05[/C][C]99.1603925136973[/C][C]0.14740942434376[/C][/ROW]
[ROW][C]0.06[/C][C]99.2128907878416[/C][C]0.236302701096455[/C][/ROW]
[ROW][C]0.07[/C][C]99.2904734271903[/C][C]0.342628419084761[/C][/ROW]
[ROW][C]0.08[/C][C]99.3962331182439[/C][C]0.460098104722244[/C][/ROW]
[ROW][C]0.09[/C][C]99.5313627982611[/C][C]0.582002162542708[/C][/ROW]
[ROW][C]0.1[/C][C]99.6952372660694[/C][C]0.702784386101144[/C][/ROW]
[ROW][C]0.11[/C][C]99.8857254337802[/C][C]0.817757034879895[/C][/ROW]
[ROW][C]0.12[/C][C]100.099550854569[/C][C]0.92256927458885[/C][/ROW]
[ROW][C]0.13[/C][C]100.332593309209[/C][C]1.0124941208995[/C][/ROW]
[ROW][C]0.14[/C][C]100.580121939885[/C][C]1.08319081930107[/C][/ROW]
[ROW][C]0.15[/C][C]100.837009722542[/C][C]1.13116543623583[/C][/ROW]
[ROW][C]0.16[/C][C]101.097979781792[/C][C]1.15452638583001[/C][/ROW]
[ROW][C]0.17[/C][C]101.357894962172[/C][C]1.15381859755465[/C][/ROW]
[ROW][C]0.18[/C][C]101.612058170097[/C][C]1.13147524338812[/C][/ROW]
[ROW][C]0.19[/C][C]101.856469447941[/C][C]1.091343066965[/C][/ROW]
[ROW][C]0.2[/C][C]102.087993973895[/C][C]1.03772394163107[/C][/ROW]
[ROW][C]0.21[/C][C]102.304423237416[/C][C]0.975020934609055[/C][/ROW]
[ROW][C]0.22[/C][C]102.504442486626[/C][C]0.906883430443817[/C][/ROW]
[ROW][C]0.23[/C][C]102.687537408664[/C][C]0.836362837062233[/C][/ROW]
[ROW][C]0.24[/C][C]102.853876696886[/C][C]0.766192453337419[/C][/ROW]
[ROW][C]0.25[/C][C]103.004197683338[/C][C]0.698715480930563[/C][/ROW]
[ROW][C]0.26[/C][C]103.139706916099[/C][C]0.636012579093841[/C][/ROW]
[ROW][C]0.27[/C][C]103.261993768807[/C][C]0.580440851088159[/C][/ROW]
[ROW][C]0.28[/C][C]103.372947370554[/C][C]0.533944594162169[/C][/ROW]
[ROW][C]0.29[/C][C]103.474666266837[/C][C]0.498262283271985[/C][/ROW]
[ROW][C]0.3[/C][C]103.56935451759[/C][C]0.474747555534238[/C][/ROW]
[ROW][C]0.31[/C][C]103.659204510517[/C][C]0.463326838255645[/C][/ROW]
[ROW][C]0.32[/C][C]103.746272933266[/C][C]0.463332495818791[/C][/ROW]
[ROW][C]0.33[/C][C]103.832360403746[/C][C]0.472789334026063[/C][/ROW]
[ROW][C]0.34[/C][C]103.918906625478[/C][C]0.489032237640766[/C][/ROW]
[ROW][C]0.35[/C][C]104.006911884833[/C][C]0.508888546575975[/C][/ROW]
[ROW][C]0.36[/C][C]104.096892935495[/C][C]0.529203984755841[/C][/ROW]
[ROW][C]0.37[/C][C]104.188877584463[/C][C]0.547064221594436[/C][/ROW]
[ROW][C]0.38[/C][C]104.282438234085[/C][C]0.559878636533811[/C][/ROW]
[ROW][C]0.39[/C][C]104.376760709233[/C][C]0.565618537350409[/C][/ROW]
[ROW][C]0.4[/C][C]104.470741258372[/C][C]0.563018172945859[/C][/ROW]
[ROW][C]0.41[/C][C]104.563101967491[/C][C]0.551354924984197[/C][/ROW]
[ROW][C]0.42[/C][C]104.652513248175[/C][C]0.530900452541328[/C][/ROW]
[ROW][C]0.43[/C][C]104.737711773916[/C][C]0.502431611285614[/C][/ROW]
[ROW][C]0.44[/C][C]104.81760332143[/C][C]0.467418890176837[/C][/ROW]
[ROW][C]0.45[/C][C]104.891342298686[/C][C]0.427618066179206[/C][/ROW]
[ROW][C]0.46[/C][C]104.958382955442[/C][C]0.385031904634322[/C][/ROW]
[ROW][C]0.47[/C][C]105.018500847508[/C][C]0.341795765995339[/C][/ROW]
[ROW][C]0.48[/C][C]105.071786471254[/C][C]0.29981868007251[/C][/ROW]
[ROW][C]0.49[/C][C]105.118615582377[/C][C]0.260706342711985[/C][/ROW]
[ROW][C]0.5[/C][C]105.159602239758[/C][C]0.225901945619806[/C][/ROW]
[ROW][C]0.51[/C][C]105.195541009387[/C][C]0.196411006185044[/C][/ROW]
[ROW][C]0.52[/C][C]105.227344217363[/C][C]0.172926638765251[/C][/ROW]
[ROW][C]0.53[/C][C]105.255979026517[/C][C]0.155888843084984[/C][/ROW]
[ROW][C]0.54[/C][C]105.282407861421[/C][C]0.145190585924405[/C][/ROW]
[ROW][C]0.55[/C][C]105.3075346905[/C][C]0.140451066568073[/C][/ROW]
[ROW][C]0.56[/C][C]105.332159100349[/C][C]0.140708365214068[/C][/ROW]
[ROW][C]0.57[/C][C]105.35693997117[/C][C]0.144805748759098[/C][/ROW]
[ROW][C]0.58[/C][C]105.382370703885[/C][C]0.151323194291704[/C][/ROW]
[ROW][C]0.59[/C][C]105.408768067189[/C][C]0.158990832143881[/C][/ROW]
[ROW][C]0.6[/C][C]105.436276524709[/C][C]0.166517242946793[/C][/ROW]
[ROW][C]0.61[/C][C]105.464889159353[/C][C]0.173036595630813[/C][/ROW]
[ROW][C]0.62[/C][C]105.494484988859[/C][C]0.177837470046114[/C][/ROW]
[ROW][C]0.63[/C][C]105.52488070415[/C][C]0.180672490658333[/C][/ROW]
[ROW][C]0.64[/C][C]105.555892950083[/C][C]0.181613526200788[/C][/ROW]
[ROW][C]0.65[/C][C]105.587405562467[/C][C]0.181305395239695[/C][/ROW]
[ROW][C]0.66[/C][C]105.619434994681[/C][C]0.180537689906742[/C][/ROW]
[ROW][C]0.67[/C][C]105.652186703782[/C][C]0.180911804804556[/C][/ROW]
[ROW][C]0.68[/C][C]105.686095540229[/C][C]0.183853769495239[/C][/ROW]
[ROW][C]0.69[/C][C]105.721844066451[/C][C]0.191075681318056[/C][/ROW]
[ROW][C]0.7[/C][C]105.760354015864[/C][C]0.204105223529577[/C][/ROW]
[ROW][C]0.71[/C][C]105.802747638742[/C][C]0.22390229392613[/C][/ROW]
[ROW][C]0.72[/C][C]105.850277455894[/C][C]0.250939326954332[/C][/ROW]
[ROW][C]0.73[/C][C]105.90422513625[/C][C]0.284802465741148[/C][/ROW]
[ROW][C]0.74[/C][C]105.965773139329[/C][C]0.324315693891676[/C][/ROW]
[ROW][C]0.75[/C][C]106.035856684448[/C][C]0.367774600439754[/C][/ROW]
[ROW][C]0.76[/C][C]106.115008501824[/C][C]0.412536937690503[/C][/ROW]
[ROW][C]0.77[/C][C]106.203214131414[/C][C]0.455436368368356[/C][/ROW]
[ROW][C]0.78[/C][C]106.299800052145[/C][C]0.492960745983067[/C][/ROW]
[ROW][C]0.79[/C][C]106.403378883611[/C][C]0.521483679988791[/C][/ROW]
[ROW][C]0.8[/C][C]106.511873386974[/C][C]0.537779478536394[/C][/ROW]
[ROW][C]0.81[/C][C]106.622632598657[/C][C]0.539352941798348[/C][/ROW]
[ROW][C]0.82[/C][C]106.732639060822[/C][C]0.525108123098814[/C][/ROW]
[ROW][C]0.83[/C][C]106.838787619216[/C][C]0.495388196013445[/C][/ROW]
[ROW][C]0.84[/C][C]106.938197625442[/C][C]0.452254261057367[/C][/ROW]
[ROW][C]0.85[/C][C]107.028507148783[/C][C]0.399120874639795[/C][/ROW]
[ROW][C]0.86[/C][C]107.108095643471[/C][C]0.340331759187992[/C][/ROW]
[ROW][C]0.87[/C][C]107.17619413311[/C][C]0.280488543226996[/C][/ROW]
[ROW][C]0.88[/C][C]107.232868863891[/C][C]0.223785942923678[/C][/ROW]
[ROW][C]0.89[/C][C]107.278899261921[/C][C]0.173328401233773[/C][/ROW]
[ROW][C]0.9[/C][C]107.315601800759[/C][C]0.130942301761857[/C][/ROW]
[ROW][C]0.91[/C][C]107.344662368223[/C][C]0.0971547333431734[/C][/ROW]
[ROW][C]0.92[/C][C]107.368016971499[/C][C]0.0718042082032277[/C][/ROW]
[ROW][C]0.93[/C][C]107.387761098623[/C][C]0.0547238128210331[/C][/ROW]
[ROW][C]0.94[/C][C]107.405992652293[/C][C]0.0461772472466122[/C][/ROW]
[ROW][C]0.95[/C][C]107.424458394045[/C][C]0.0456762245848492[/C][/ROW]
[ROW][C]0.96[/C][C]107.443962380927[/C][C]0.0489274082671551[/C][/ROW]
[ROW][C]0.97[/C][C]107.463756196634[/C][C]0.0486988354475619[/C][/ROW]
[ROW][C]0.98[/C][C]107.481456793549[/C][C]0.0387517919004455[/C][/ROW]
[ROW][C]0.99[/C][C]107.494069382153[/C][C]0.0191555563906636[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=287382&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=287382&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
0.0199.10060618741650.00272341833968118
0.0299.10331910853280.0128166497496476
0.0399.1110792273650.0367592298655662
0.0499.12829943732590.08056838976581
0.0599.16039251369730.14740942434376
0.0699.21289078784160.236302701096455
0.0799.29047342719030.342628419084761
0.0899.39623311824390.460098104722244
0.0999.53136279826110.582002162542708
0.199.69523726606940.702784386101144
0.1199.88572543378020.817757034879895
0.12100.0995508545690.92256927458885
0.13100.3325933092091.0124941208995
0.14100.5801219398851.08319081930107
0.15100.8370097225421.13116543623583
0.16101.0979797817921.15452638583001
0.17101.3578949621721.15381859755465
0.18101.6120581700971.13147524338812
0.19101.8564694479411.091343066965
0.2102.0879939738951.03772394163107
0.21102.3044232374160.975020934609055
0.22102.5044424866260.906883430443817
0.23102.6875374086640.836362837062233
0.24102.8538766968860.766192453337419
0.25103.0041976833380.698715480930563
0.26103.1397069160990.636012579093841
0.27103.2619937688070.580440851088159
0.28103.3729473705540.533944594162169
0.29103.4746662668370.498262283271985
0.3103.569354517590.474747555534238
0.31103.6592045105170.463326838255645
0.32103.7462729332660.463332495818791
0.33103.8323604037460.472789334026063
0.34103.9189066254780.489032237640766
0.35104.0069118848330.508888546575975
0.36104.0968929354950.529203984755841
0.37104.1888775844630.547064221594436
0.38104.2824382340850.559878636533811
0.39104.3767607092330.565618537350409
0.4104.4707412583720.563018172945859
0.41104.5631019674910.551354924984197
0.42104.6525132481750.530900452541328
0.43104.7377117739160.502431611285614
0.44104.817603321430.467418890176837
0.45104.8913422986860.427618066179206
0.46104.9583829554420.385031904634322
0.47105.0185008475080.341795765995339
0.48105.0717864712540.29981868007251
0.49105.1186155823770.260706342711985
0.5105.1596022397580.225901945619806
0.51105.1955410093870.196411006185044
0.52105.2273442173630.172926638765251
0.53105.2559790265170.155888843084984
0.54105.2824078614210.145190585924405
0.55105.30753469050.140451066568073
0.56105.3321591003490.140708365214068
0.57105.356939971170.144805748759098
0.58105.3823707038850.151323194291704
0.59105.4087680671890.158990832143881
0.6105.4362765247090.166517242946793
0.61105.4648891593530.173036595630813
0.62105.4944849888590.177837470046114
0.63105.524880704150.180672490658333
0.64105.5558929500830.181613526200788
0.65105.5874055624670.181305395239695
0.66105.6194349946810.180537689906742
0.67105.6521867037820.180911804804556
0.68105.6860955402290.183853769495239
0.69105.7218440664510.191075681318056
0.7105.7603540158640.204105223529577
0.71105.8027476387420.22390229392613
0.72105.8502774558940.250939326954332
0.73105.904225136250.284802465741148
0.74105.9657731393290.324315693891676
0.75106.0358566844480.367774600439754
0.76106.1150085018240.412536937690503
0.77106.2032141314140.455436368368356
0.78106.2998000521450.492960745983067
0.79106.4033788836110.521483679988791
0.8106.5118733869740.537779478536394
0.81106.6226325986570.539352941798348
0.82106.7326390608220.525108123098814
0.83106.8387876192160.495388196013445
0.84106.9381976254420.452254261057367
0.85107.0285071487830.399120874639795
0.86107.1080956434710.340331759187992
0.87107.176194133110.280488543226996
0.88107.2328688638910.223785942923678
0.89107.2788992619210.173328401233773
0.9107.3156018007590.130942301761857
0.91107.3446623682230.0971547333431734
0.92107.3680169714990.0718042082032277
0.93107.3877610986230.0547238128210331
0.94107.4059926522930.0461772472466122
0.95107.4244583940450.0456762245848492
0.96107.4439623809270.0489274082671551
0.97107.4637561966340.0486988354475619
0.98107.4814567935490.0387517919004455
0.99107.4940693821530.0191555563906636



Parameters (Session):
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')